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2024-05-11_MatrixRun-out_6_CoypuM
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starting at 2024-05-12T16:00:38+02:00
args: 'ModelGoogle ModelClaude' - 'Text2SparqlExecEvalListCoypuMini' - '20' - --config configuration-2024-05-sparql.yml
full command LlmKgBench/run-matrix.sh ModelGoogle ModelClaude Text2SparqlExecEvalListCoypuMini 20 --config configuration-2024-05-sparql.yml
2024-05-12T16:00:38+02:00 starting: ModelGoogle-Text2SparqlExecEvalListCoypuMini-20x
So 12. Mai 16:00:38 CEST 2024
[INFO] benchmark configuration set: tasks:['Text2SparqlExecEvalListCoypuMiniTurtleGraph', 'Text2SparqlExecEvalListCoypuMiniJsonldGraph', 'Text2SparqlExecEvalListCoypuMiniTurtleMSchema', 'Text2SparqlExecEvalListCoypuMiniJsonldMSchema', 'Text2SparqlExecEvalListCoypuMiniIris']; iterations:20; sizes:[1000]; models:['Gemini-1.0-Pro', 'Gemini-1.5-Pro']
[INFO] Start for task 'Text2SparqlExecEvalListCoypuMiniTurtleGraph' version '2.1' at 2024-05-12 16:00:41.382086. Task parameter: {'kgInfoType': 'graph', 'kgInfoFormat': 'turtle'}
[INFO] model=Google-gemini-1.0-pro ...
[INFO] size=None
[INFO] iteration=1/20, total=1/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:00:41.384358; size=None; i=1
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=2/20, total=2/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:00:47.217409; size=None; i=2
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=3/20, total=3/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:01:00.428253; size=None; i=3
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=4/20, total=4/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:01:05.667759; size=None; i=4
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=5/20, total=5/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:01:09.635429; size=None; i=5
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=6/20, total=6/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:01:21.641200; size=None; i=6
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=7/20, total=7/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:01:25.415450; size=None; i=7
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=8/20, total=8/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:01:39.233842; size=None; i=8
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=9/20, total=9/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:01:42.564469; size=None; i=9
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=10/20, total=10/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:01:47.354925; size=None; i=10
[ERROR] 'geo'
Traceback (most recent call last):
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/api/task.py", line 462, in orchestrateMultishotEvaluation
scoreI, infoI, nextPrompt, multiShotInfo = self.evaluateAnswerMultiShot(conversation=conversationRest, multiShotInfo=multiShotInfo)
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 784, in evaluateAnswerMultiShot
scores, info, answerParse = self.evaluateAnswerSyntax(answerSparql, scores, info, self.refSparql, self.getDefaultPrefixes())
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 712, in evaluateAnswerSyntax
answerSparqlIris, _ = getPrefixesAndIrisFromQuery(query_str=answerSparql, prefixesAdd=defaultPrefixes)
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 161, in getPrefixesAndIrisFromQuery
iris = [entry if type == URIRefName else getUriFromPName(entry, prefixesComb) for (type,entry) in entries if type in [pnameName,URIRefName]]
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 161, in <listcomp>
iris = [entry if type == URIRefName else getUriFromPName(entry, prefixesComb) for (type,entry) in entries if type in [pnameName,URIRefName]]
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 147, in getUriFromPName
prefix = prefixes[prefixName]
KeyError: 'geo'
[INFO] scores (short): {}
[INFO] iteration=11/20, total=11/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:01:51.854486; size=None; i=11
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=12/20, total=12/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:01:55.055370; size=None; i=12
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=13/20, total=13/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:02:07.880003; size=None; i=13
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=14/20, total=14/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:02:11.481829; size=None; i=14
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=15/20, total=15/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:02:15.346134; size=None; i=15
[ERROR] 'geo'
Traceback (most recent call last):
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/api/task.py", line 462, in orchestrateMultishotEvaluation
scoreI, infoI, nextPrompt, multiShotInfo = self.evaluateAnswerMultiShot(conversation=conversationRest, multiShotInfo=multiShotInfo)
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 784, in evaluateAnswerMultiShot
scores, info, answerParse = self.evaluateAnswerSyntax(answerSparql, scores, info, self.refSparql, self.getDefaultPrefixes())
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 712, in evaluateAnswerSyntax
answerSparqlIris, _ = getPrefixesAndIrisFromQuery(query_str=answerSparql, prefixesAdd=defaultPrefixes)
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 161, in getPrefixesAndIrisFromQuery
iris = [entry if type == URIRefName else getUriFromPName(entry, prefixesComb) for (type,entry) in entries if type in [pnameName,URIRefName]]
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 161, in <listcomp>
iris = [entry if type == URIRefName else getUriFromPName(entry, prefixesComb) for (type,entry) in entries if type in [pnameName,URIRefName]]
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 147, in getUriFromPName
prefix = prefixes[prefixName]
KeyError: 'geo'
[INFO] scores (short): {}
[INFO] iteration=16/20, total=16/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:02:20.384720; size=None; i=16
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=17/20, total=17/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:02:25.009799; size=None; i=17
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=18/20, total=18/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:02:36.783837; size=None; i=18
[ERROR] 'geo'
Traceback (most recent call last):
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/api/task.py", line 462, in orchestrateMultishotEvaluation
scoreI, infoI, nextPrompt, multiShotInfo = self.evaluateAnswerMultiShot(conversation=conversationRest, multiShotInfo=multiShotInfo)
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 784, in evaluateAnswerMultiShot
scores, info, answerParse = self.evaluateAnswerSyntax(answerSparql, scores, info, self.refSparql, self.getDefaultPrefixes())
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 712, in evaluateAnswerSyntax
answerSparqlIris, _ = getPrefixesAndIrisFromQuery(query_str=answerSparql, prefixesAdd=defaultPrefixes)
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 161, in getPrefixesAndIrisFromQuery
iris = [entry if type == URIRefName else getUriFromPName(entry, prefixesComb) for (type,entry) in entries if type in [pnameName,URIRefName]]
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 161, in <listcomp>
iris = [entry if type == URIRefName else getUriFromPName(entry, prefixesComb) for (type,entry) in entries if type in [pnameName,URIRefName]]
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 147, in getUriFromPName
prefix = prefixes[prefixName]
KeyError: 'geo'
[INFO] scores (short): {}
[INFO] iteration=19/20, total=19/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:02:40.074223; size=None; i=19
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=20/20, total=20/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:02:44.736653; size=None; i=20
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] model=Google-models/gemini-1.5-pro-latest ...
[INFO] size=None
[INFO] iteration=1/20, total=21/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:02:49.380110; size=None; i=1
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=2/20, total=22/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:02:52.575449; size=None; i=2
[INFO] starting next evaluation shot #2
[INFO] Backing off _generateContent(...) for 0.7s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=3/20, total=23/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:03:04.958539; size=None; i=3
[INFO] Backing off _generateContent(...) for 0.9s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=4/20, total=24/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:03:09.743528; size=None; i=4
[INFO] Backing off _generateContent(...) for 0.3s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.0s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 2.0s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.8s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 14.6s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 17.7s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 17.6s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=5/20, total=25/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:04:10.129034; size=None; i=5
[INFO] starting next evaluation shot #2
[INFO] scores (short): {'1': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=6/20, total=26/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:04:17.702885; size=None; i=6
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=7/20, total=27/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:04:21.664893; size=None; i=7
[INFO] starting next evaluation shot #2
[INFO] Backing off _generateContent(...) for 0.6s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.0s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 2.7s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 7.6s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 14.0s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=8/20, total=28/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:04:58.150252; size=None; i=8
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=9/20, total=29/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:05:01.936154; size=None; i=9
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=10/20, total=30/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:05:06.670937; size=None; i=10
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=11/20, total=31/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:05:10.134646; size=None; i=11
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=12/20, total=32/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:05:14.347573; size=None; i=12
[INFO] Backing off _generateContent(...) for 0.3s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.0s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 3.9s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 5.2s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 5.1s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 30.3s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=13/20, total=33/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:06:11.981065; size=None; i=13
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=14/20, total=34/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:06:14.754280; size=None; i=14
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=15/20, total=35/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:06:19.210259; size=None; i=15
[INFO] Backing off _generateContent(...) for 0.3s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.4s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.2s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.3s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 12.3s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 26.0s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #2
[ERROR] 'geo'
Traceback (most recent call last):
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/api/task.py", line 462, in orchestrateMultishotEvaluation
scoreI, infoI, nextPrompt, multiShotInfo = self.evaluateAnswerMultiShot(conversation=conversationRest, multiShotInfo=multiShotInfo)
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 784, in evaluateAnswerMultiShot
scores, info, answerParse = self.evaluateAnswerSyntax(answerSparql, scores, info, self.refSparql, self.getDefaultPrefixes())
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 712, in evaluateAnswerSyntax
answerSparqlIris, _ = getPrefixesAndIrisFromQuery(query_str=answerSparql, prefixesAdd=defaultPrefixes)
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 161, in getPrefixesAndIrisFromQuery
iris = [entry if type == URIRefName else getUriFromPName(entry, prefixesComb) for (type,entry) in entries if type in [pnameName,URIRefName]]
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 161, in <listcomp>
iris = [entry if type == URIRefName else getUriFromPName(entry, prefixesComb) for (type,entry) in entries if type in [pnameName,URIRefName]]
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 147, in getUriFromPName
prefix = prefixes[prefixName]
KeyError: 'geo'
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=16/20, total=36/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:07:08.740414; size=None; i=16
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=17/20, total=37/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:07:12.017599; size=None; i=17
[INFO] starting next evaluation shot #2
[INFO] Backing off _generateContent(...) for 1.0s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.2s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.9s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=18/20, total=38/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:07:27.382992; size=None; i=18
[INFO] Backing off _generateContent(...) for 0.6s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.7s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.0s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.6s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 11.7s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 12.3s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=19/20, total=39/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:07:59.756282; size=None; i=19
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=20/20, total=40/200, task=Text2SparqlExecEvalListCoypuMiniTurtleGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:08:03.346762; size=None; i=20
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] Total bytes transfered(in+out) per model: {'Google-gemini-1.0-pro': 300738, 'Google-models/gemini-1.5-pro-latest': 298294}
[INFO] done, 2024-05-12 16:08:06.733556
[INFO] Start for task 'Text2SparqlExecEvalListCoypuMiniJsonldGraph' version '2.1' at 2024-05-12 16:08:06.800896. Task parameter: {'kgInfoType': 'graph', 'kgInfoFormat': 'json-ld'}
[INFO] model=Google-gemini-1.0-pro ...
[INFO] size=None
[INFO] iteration=1/20, total=41/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:08:06.802716; size=None; i=1
[INFO] starting next evaluation shot #2
[INFO] scores (short): {'1': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=2/20, total=42/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:08:16.201583; size=None; i=2
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=3/20, total=43/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:08:29.666611; size=None; i=3
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=4/20, total=44/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:08:33.583564; size=None; i=4
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=5/20, total=45/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:08:54.143960; size=None; i=5
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=6/20, total=46/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:09:09.995379; size=None; i=6
[INFO] starting next evaluation shot #2
[INFO] scores (short): {'1': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=7/20, total=47/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:09:21.347784; size=None; i=7
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=8/20, total=48/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:09:26.271867; size=None; i=8
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=9/20, total=49/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:09:30.364080; size=None; i=9
[INFO] starting next evaluation shot #2
[INFO] scores (short): {'1': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=10/20, total=50/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:09:39.497486; size=None; i=10
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=11/20, total=51/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:09:55.731152; size=None; i=11
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=12/20, total=52/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:10:11.914560; size=None; i=12
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 0.0, 'combined': 0.0}}
[INFO] iteration=13/20, total=53/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:10:29.797091; size=None; i=13
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=14/20, total=54/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:10:33.697504; size=None; i=14
[INFO] starting next evaluation shot #2
[INFO] scores (short): {'1': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=15/20, total=55/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:10:42.283493; size=None; i=15
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 0.0, 'combined': 0.0}}
[INFO] iteration=16/20, total=56/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:10:57.310043; size=None; i=16
[INFO] starting next evaluation shot #2
[INFO] scores (short): {'1': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=17/20, total=57/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:11:07.158952; size=None; i=17
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=18/20, total=58/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:11:22.976367; size=None; i=18
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=19/20, total=59/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:11:26.855056; size=None; i=19
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=20/20, total=60/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:11:31.220120; size=None; i=20
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] model=Google-models/gemini-1.5-pro-latest ...
[INFO] size=None
[INFO] iteration=1/20, total=61/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:11:45.496470; size=None; i=1
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=2/20, total=62/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:11:55.901653; size=None; i=2
[INFO] Backing off _generateContent(...) for 0.6s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.1s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.6s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 2.4s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.7s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.2s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 11.8s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 81.8s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=3/20, total=63/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:13:46.540453; size=None; i=3
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=4/20, total=64/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:13:49.245368; size=None; i=4
[INFO] Backing off _generateContent(...) for 0.9s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=5/20, total=65/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:13:53.799598; size=None; i=5
[INFO] Backing off _generateContent(...) for 0.2s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #2
[INFO] Backing off _generateContent(...) for 0.3s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.2s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.1s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=6/20, total=66/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:14:04.817861; size=None; i=6
[INFO] Backing off _generateContent(...) for 0.6s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.1s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 2.4s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.6s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 13.1s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 14.9s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 15.0s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=7/20, total=67/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:15:05.783087; size=None; i=7
[INFO] Backing off _generateContent(...) for 0.0s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=8/20, total=68/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:15:14.279353; size=None; i=8
[INFO] Backing off _generateContent(...) for 0.8s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 2.0s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 2.6s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 4.4s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 14.5s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 29.2s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=9/20, total=69/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:16:12.858125; size=None; i=9
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=10/20, total=70/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:16:15.911547; size=None; i=10
[INFO] starting next evaluation shot #2
[INFO] scores (short): {'1': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=11/20, total=71/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:16:22.536147; size=None; i=11
[INFO] starting next evaluation shot #2
[INFO] scores (short): {'1': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=12/20, total=72/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:16:29.308741; size=None; i=12
[INFO] Backing off _generateContent(...) for 0.1s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.3s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 3.2s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 2.8s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 12.4s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=13/20, total=73/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:16:58.696834; size=None; i=13
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=14/20, total=74/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:17:01.496373; size=None; i=14
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=15/20, total=75/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:17:04.767470; size=None; i=15
[INFO] Backing off _generateContent(...) for 0.9s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.7s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.5s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.0s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 2.6s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.0s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 5.7s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.5s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 11.2s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 121.1s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #2
[INFO] scores (short): {'1': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=16/20, total=76/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:19:40.246872; size=None; i=16
[INFO] starting next evaluation shot #2
[INFO] Backing off _generateContent(...) for 0.3s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.7s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=17/20, total=77/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:19:51.651516; size=None; i=17
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=18/20, total=78/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:20:02.210370; size=None; i=18
[INFO] Backing off _generateContent(...) for 0.5s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.4s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.0s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=19/20, total=79/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:20:09.171444; size=None; i=19
[INFO] Backing off _generateContent(...) for 0.8s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.2s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.8s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.3s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 5.5s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 8.6s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 61.0s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=20/20, total=80/200, task=Text2SparqlExecEvalListCoypuMiniJsonldGraph ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:21:34.230317; size=None; i=20
[INFO] starting next evaluation shot #2
[INFO] Backing off _generateContent(...) for 0.1s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] Total bytes transfered(in+out) per model: {'Google-gemini-1.0-pro': 1036239, 'Google-models/gemini-1.5-pro-latest': 1019953}
[INFO] done, 2024-05-12 16:21:43.908789
[INFO] Start for task 'Text2SparqlExecEvalListCoypuMiniTurtleMSchema' version '2.1' at 2024-05-12 16:21:43.970281. Task parameter: {'kgInfoType': 'minischema', 'kgInfoFormat': 'turtle'}
[INFO] model=Google-gemini-1.0-pro ...
[INFO] size=None
[INFO] iteration=1/20, total=81/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:21:43.972216; size=None; i=1
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=2/20, total=82/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:21:46.487953; size=None; i=2
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=3/20, total=83/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:21:54.650716; size=None; i=3
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=4/20, total=84/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:21:57.079706; size=None; i=4
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=5/20, total=85/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:21:59.156904; size=None; i=5
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 0.0, 'combined': 0.0}}
[INFO] iteration=6/20, total=86/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:22:09.192930; size=None; i=6
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=7/20, total=87/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:22:12.060614; size=None; i=7
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=8/20, total=88/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:22:20.320133; size=None; i=8
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=9/20, total=89/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:22:22.101415; size=None; i=9
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=10/20, total=90/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:22:24.347736; size=None; i=10
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 0.0, 'combined': 0.0}}
[INFO] iteration=11/20, total=91/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:22:32.452828; size=None; i=11
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=12/20, total=92/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:22:34.667418; size=None; i=12
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=13/20, total=93/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:22:44.615249; size=None; i=13
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=14/20, total=94/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:22:46.984945; size=None; i=14
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=15/20, total=95/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:22:49.501706; size=None; i=15
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=16/20, total=96/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:22:58.422138; size=None; i=16
[ERROR] '<rdflib.plugins.sparql.processor.SPARQLResult object at 0x7f040851d660>' object has no attribute 'bindings'
Traceback (most recent call last):
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 798, in evaluateAnswerMultiShot
answerResultRecords = self.getSparqlResultRecords(sparqlStr=answerSparql)
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/bench/Text2SparqlExecEvalListCoypuMini/task.py", line 85, in getSparqlResultRecords
logging.debug(f"sparql results={list(results)}")
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-yZIGFtlI-py3.10/lib/python3.10/site-packages/rdflib/query.py", line 347, in __len__
return len(self.bindings)
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-yZIGFtlI-py3.10/lib/python3.10/site-packages/rdflib/query.py", line 400, in __getattr__
raise AttributeError("'%s' object has no attribute '%s'" % (self, name))
AttributeError: '<rdflib.plugins.sparql.processor.SPARQLResult object at 0x7f040851d660>' object has no attribute 'bindings'
[ERROR] unhashable type: 'slice'
Traceback (most recent call last):
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 798, in evaluateAnswerMultiShot
answerResultRecords = self.getSparqlResultRecords(sparqlStr=answerSparql)
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/bench/Text2SparqlExecEvalListCoypuMini/task.py", line 85, in getSparqlResultRecords
logging.debug(f"sparql results={list(results)}")
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-yZIGFtlI-py3.10/lib/python3.10/site-packages/rdflib/query.py", line 347, in __len__
return len(self.bindings)
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-yZIGFtlI-py3.10/lib/python3.10/site-packages/rdflib/query.py", line 400, in __getattr__
raise AttributeError("'%s' object has no attribute '%s'" % (self, name))
AttributeError: '<rdflib.plugins.sparql.processor.SPARQLResult object at 0x7f040851d660>' object has no attribute 'bindings'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/api/task.py", line 462, in orchestrateMultishotEvaluation
scoreI, infoI, nextPrompt, multiShotInfo = self.evaluateAnswerMultiShot(conversation=conversationRest, multiShotInfo=multiShotInfo)
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 801, in evaluateAnswerMultiShot
info['EvaluationException': str(e)]
TypeError: unhashable type: 'slice'
[INFO] scores (short): {}
[INFO] iteration=17/20, total=97/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:23:01.305395; size=None; i=17
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=18/20, total=98/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:23:08.662415; size=None; i=18
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=19/20, total=99/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:23:10.802253; size=None; i=19
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=20/20, total=100/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:23:13.660301; size=None; i=20
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] model=Google-models/gemini-1.5-pro-latest ...
[INFO] size=None
[INFO] iteration=1/20, total=101/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:23:21.993274; size=None; i=1
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=2/20, total=102/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:23:24.876718; size=None; i=2
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=3/20, total=103/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:23:40.218251; size=None; i=3
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=4/20, total=104/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:23:42.653186; size=None; i=4
[INFO] Backing off _generateContent(...) for 0.4s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.3s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 2.8s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 5.7s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=5/20, total=105/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:23:56.009706; size=None; i=5
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=6/20, total=106/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:24:06.436953; size=None; i=6
[INFO] Backing off _generateContent(...) for 0.5s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.1s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.2s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=7/20, total=107/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:24:11.484062; size=None; i=7
[INFO] Backing off _generateContent(...) for 0.6s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.5s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 2.9s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 2.8s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 8.2s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 16.9s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 24.6s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=8/20, total=108/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:25:22.960070; size=None; i=8
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=9/20, total=109/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:25:25.001797; size=None; i=9
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=10/20, total=110/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:25:27.921664; size=None; i=10
[INFO] Backing off _generateContent(...) for 0.7s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.1s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.2s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.3s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 5.0s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 5.5s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 23.7s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 0.0, 'combined': 0.0}}
[INFO] iteration=11/20, total=111/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:26:14.720984; size=None; i=11
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=12/20, total=112/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:26:17.294833; size=None; i=12
[INFO] starting next evaluation shot #2
[INFO] Backing off _generateContent(...) for 0.8s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.5s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=13/20, total=113/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:26:29.435284; size=None; i=13
[INFO] Backing off _generateContent(...) for 0.7s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.8s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 3.7s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 3.2s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 4.9s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 16.4s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=14/20, total=114/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:27:02.297440; size=None; i=14
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=15/20, total=115/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:27:05.207785; size=None; i=15
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=16/20, total=116/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:27:14.730341; size=None; i=16
[INFO] Backing off _generateContent(...) for 0.3s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=17/20, total=117/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:27:18.270052; size=None; i=17
[INFO] Backing off _generateContent(...) for 0.5s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.2s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 2.5s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.0s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.4s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 20.8s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 25.5s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=18/20, total=118/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:28:20.253425; size=None; i=18
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=19/20, total=119/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:28:22.188401; size=None; i=19
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=20/20, total=120/200, task=Text2SparqlExecEvalListCoypuMiniTurtleMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:28:24.951043; size=None; i=20
[INFO] Backing off _generateContent(...) for 0.7s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.0s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.5s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 6.1s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 11.9s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 4.7s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] Total bytes transfered(in+out) per model: {'Google-gemini-1.0-pro': 1109364, 'Google-models/gemini-1.5-pro-latest': 1093200}
[INFO] done, 2024-05-12 16:29:00.796183
[INFO] Start for task 'Text2SparqlExecEvalListCoypuMiniJsonldMSchema' version '2.1' at 2024-05-12 16:29:00.864766. Task parameter: {'kgInfoType': 'minischema', 'kgInfoFormat': 'json-ld'}
[INFO] model=Google-gemini-1.0-pro ...
[INFO] size=None
[INFO] iteration=1/20, total=121/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:29:00.866687; size=None; i=1
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=2/20, total=122/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:29:03.329681; size=None; i=2
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 0.0, 'combined': 0.0}}
[INFO] iteration=3/20, total=123/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:29:11.522357; size=None; i=3
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=4/20, total=124/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:29:13.673381; size=None; i=4
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=5/20, total=125/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:29:16.220442; size=None; i=5
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=6/20, total=126/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:29:28.407340; size=None; i=6
[INFO] starting next evaluation shot #2
[ERROR] You performed a query operation requiring a dataset (i.e. ConjunctiveGraph), but operating currently on a single graph.
Traceback (most recent call last):
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 798, in evaluateAnswerMultiShot
answerResultRecords = self.getSparqlResultRecords(sparqlStr=answerSparql)
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/bench/Text2SparqlExecEvalListCoypuMini/task.py", line 84, in getSparqlResultRecords
results = self.graph.query(sparqlStr, initNs=self.getDefaultPrefixes())
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-yZIGFtlI-py3.10/lib/python3.10/site-packages/rdflib/graph.py", line 1565, in query
return result(processor.query(query_object, initBindings, initNs, **kwargs)) # type: ignore[arg-type]
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-yZIGFtlI-py3.10/lib/python3.10/site-packages/rdflib/plugins/sparql/processor.py", line 146, in query
return evalQuery(self.graph, strOrQuery, initBindings, base)
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-yZIGFtlI-py3.10/lib/python3.10/site-packages/rdflib/plugins/sparql/evaluate.py", line 672, in evalQuery
if ctx.dataset is None:
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-yZIGFtlI-py3.10/lib/python3.10/site-packages/rdflib/plugins/sparql/sparql.py", line 307, in dataset
raise Exception(
Exception: You performed a query operation requiring a dataset (i.e. ConjunctiveGraph), but operating currently on a single graph.
[ERROR] unhashable type: 'slice'
Traceback (most recent call last):
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 798, in evaluateAnswerMultiShot
answerResultRecords = self.getSparqlResultRecords(sparqlStr=answerSparql)
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/bench/Text2SparqlExecEvalListCoypuMini/task.py", line 84, in getSparqlResultRecords
results = self.graph.query(sparqlStr, initNs=self.getDefaultPrefixes())
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-yZIGFtlI-py3.10/lib/python3.10/site-packages/rdflib/graph.py", line 1565, in query
return result(processor.query(query_object, initBindings, initNs, **kwargs)) # type: ignore[arg-type]
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-yZIGFtlI-py3.10/lib/python3.10/site-packages/rdflib/plugins/sparql/processor.py", line 146, in query
return evalQuery(self.graph, strOrQuery, initBindings, base)
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-yZIGFtlI-py3.10/lib/python3.10/site-packages/rdflib/plugins/sparql/evaluate.py", line 672, in evalQuery
if ctx.dataset is None:
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-yZIGFtlI-py3.10/lib/python3.10/site-packages/rdflib/plugins/sparql/sparql.py", line 307, in dataset
raise Exception(
Exception: You performed a query operation requiring a dataset (i.e. ConjunctiveGraph), but operating currently on a single graph.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/api/task.py", line 462, in orchestrateMultishotEvaluation
scoreI, infoI, nextPrompt, multiShotInfo = self.evaluateAnswerMultiShot(conversation=conversationRest, multiShotInfo=multiShotInfo)
File "/mnt/d/git/cpy/LLM-KG-Bench-4/LlmKgBench/helper/sparqlHelper.py", line 801, in evaluateAnswerMultiShot
info['EvaluationException': str(e)]
TypeError: unhashable type: 'slice'
[INFO] scores (short): {'0': {'answerParse': 0.0, 'combined': 0.0}}
[INFO] iteration=7/20, total=127/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:29:35.008161; size=None; i=7
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=8/20, total=128/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:29:45.139439; size=None; i=8
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=9/20, total=129/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:29:47.012685; size=None; i=9
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=10/20, total=130/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:29:49.610173; size=None; i=10
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=11/20, total=131/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:29:59.248703; size=None; i=11
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=12/20, total=132/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:30:08.332694; size=None; i=12
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=13/20, total=133/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:30:19.274736; size=None; i=13
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=14/20, total=134/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:30:21.132813; size=None; i=14
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=15/20, total=135/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:30:30.506412; size=None; i=15
[INFO] starting next evaluation shot #2
[INFO] scores (short): {'1': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=16/20, total=136/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:30:37.955631; size=None; i=16
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=17/20, total=137/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:30:40.307943; size=None; i=17
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=18/20, total=138/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:30:50.388371; size=None; i=18
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=19/20, total=139/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:30:52.468749; size=None; i=19
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=20/20, total=140/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:30:54.787613; size=None; i=20
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 0.0, 'combined': 0.0}}
[INFO] model=Google-models/gemini-1.5-pro-latest ...
[INFO] size=None
[INFO] iteration=1/20, total=141/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:31:04.336597; size=None; i=1
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=2/20, total=142/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:31:14.962340; size=None; i=2
[INFO] starting next evaluation shot #2
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[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=3/20, total=143/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:31:28.204569; size=None; i=3
[INFO] Backing off _generateContent(...) for 1.0s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
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[INFO] Backing off _generateContent(...) for 25.1s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=4/20, total=144/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:32:20.833085; size=None; i=4
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
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[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:32:23.346984; size=None; i=5
[INFO] Backing off _generateContent(...) for 0.2s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.6s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #2
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[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 0.0, 'combined': 0.0}}
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[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:32:54.258934; size=None; i=6
[INFO] Backing off _generateContent(...) for 0.7s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
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[INFO] Backing off _generateContent(...) for 30.6s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #2
[INFO] scores (short): {'1': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=7/20, total=147/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:33:53.875129; size=None; i=7
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=8/20, total=148/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:34:02.775975; size=None; i=8
[INFO] Backing off _generateContent(...) for 0.5s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=9/20, total=149/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:34:05.717451; size=None; i=9
[INFO] Backing off _generateContent(...) for 0.1s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
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[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=10/20, total=150/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:34:14.420283; size=None; i=10
[INFO] Backing off _generateContent(...) for 1.0s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
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[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
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[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:35:09.405521; size=None; i=11
[INFO] starting next evaluation shot #2
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[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
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[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:35:23.394733; size=None; i=12
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[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=13/20, total=153/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:36:21.175340; size=None; i=13
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[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
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[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:36:24.535159; size=None; i=14
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[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
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[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:36:27.055536; size=None; i=15
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[INFO] Backing off _generateContent(...) for 1.7s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 4.5s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 14.0s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 28.7s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=16/20, total=156/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:37:31.158335; size=None; i=16
[INFO] Backing off _generateContent(...) for 0.0s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.3s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #2
[INFO] Backing off _generateContent(...) for 0.8s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.6s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 3.3s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=17/20, total=157/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:37:46.782779; size=None; i=17
[INFO] Backing off _generateContent(...) for 0.7s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.1s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 2.4s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 7.4s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 3.3s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 24.2s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.2s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 2.0s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #2
[INFO] Backing off _generateContent(...) for 0.3s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.2s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 0.0, 'combined': 0.0}}
[INFO] iteration=18/20, total=158/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:38:41.317979; size=None; i=18
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=19/20, total=159/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:38:43.291252; size=None; i=19
[INFO] Backing off _generateContent(...) for 0.4s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.3s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 0.6s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=20/20, total=160/200, task=Text2SparqlExecEvalListCoypuMiniJsonldMSchema ...
[INFO] evaluating model=Gemini-1.5-Pro--Google-models/gemini-1.5-pro-latest; time=2024-05-12 16:38:48.627041; size=None; i=20
[INFO] Backing off _generateContent(...) for 0.9s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.4s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 3.7s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.9s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 1.0s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 17.3s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] Backing off _generateContent(...) for 51.2s (google.api_core.exceptions.ResourceExhausted: 429 Resource has been exhausted (e.g. check quota).)
[INFO] starting next evaluation shot #2
[INFO] starting next evaluation shot #3
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] Total bytes transfered(in+out) per model: {'Google-gemini-1.0-pro': 1272956, 'Google-models/gemini-1.5-pro-latest': 1253582}
[INFO] done, 2024-05-12 16:40:16.571380
[INFO] Start for task 'Text2SparqlExecEvalListCoypuMiniIris' version '2.1' at 2024-05-12 16:40:16.634213. Task parameter: {'kgInfoType': 'iris'}
[INFO] model=Google-gemini-1.0-pro ...
[INFO] size=None
[INFO] iteration=1/20, total=161/200, task=Text2SparqlExecEvalListCoypuMiniIris ...
[INFO] evaluating model=Gemini-1.0-Pro--Google-gemini-1.0-pro; time=2024-05-12 16:40:16.636237; size=None; i=1
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=2/20, total=162/200, task=Text2SparqlExecEvalListCoypuMiniIris ...