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2024-05-08_MatrixRun-out_3-Multishot.txt
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starting at 2024-05-09T10:41:39+02:00
args: 'ModelGpt' - 'SparqlSyntaxFixingListLcQuad Text2SparqlExecEvalListLcQuad Text2SparqlExecEvalListOrganizational Text2SparqlExecEvalListOrgaNumerical' - '10 20' - --config LlmKgBench/configuration-2024-05-sparql.yml
full command LlmKgBench/run-matrix.sh ModelGpt SparqlSyntaxFixingListLcQuad Text2SparqlExecEvalListLcQuad Text2SparqlExecEvalListOrganizational Text2SparqlExecEvalListOrgaNumerical 10 20 --config LlmKgBench/configuration-2024-05-sparql.yml
2024-05-09T10:41:39+02:00 starting: ModelGpt-SparqlSyntaxFixingListLcQuad-10x
Do 9. Mai 10:41:39 CEST 2024
[INFO] benchmark configuration set: tasks:['SparqlSyntaxFixingListLcQuad']; iterations:10; sizes:[1000]; models:['GPT-3.5t16k_2024-01', 'GPT-4t_2023-11', 'GPT-4t_2024-04']
[INFO] Start for task 'SparqlSyntaxFixingListLcQuad' version '5.0' at 2024-05-09 10:41:40.844742. Task parameter: {}
[INFO] model=GPT-gpt-3.5-turbo-0125 ...
[INFO] size=None
[INFO] iteration=1/10, total=1/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:41:40.891746; size=None; i=1
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=2/10, total=2/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:41:48.554375; size=None; i=2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=3/10, total=3/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:41:55.924571; size=None; i=3
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=4/10, total=4/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:42:03.417855; size=None; i=4
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[ERROR] <urlopen error [Errno 104] Connection reset by peer>
Traceback (most recent call last):
File "/usr/lib/python3.10/urllib/request.py", line 1348, in do_open
h.request(req.get_method(), req.selector, req.data, headers,
File "/usr/lib/python3.10/http/client.py", line 1283, in request
self._send_request(method, url, body, headers, encode_chunked)
File "/usr/lib/python3.10/http/client.py", line 1329, in _send_request
self.endheaders(body, encode_chunked=encode_chunked)
File "/usr/lib/python3.10/http/client.py", line 1278, in endheaders
self._send_output(message_body, encode_chunked=encode_chunked)
File "/usr/lib/python3.10/http/client.py", line 1038, in _send_output
self.send(msg)
File "/usr/lib/python3.10/http/client.py", line 976, in send
self.connect()
File "/usr/lib/python3.10/http/client.py", line 1455, in connect
self.sock = self._context.wrap_socket(self.sock,
File "/usr/lib/python3.10/ssl.py", line 513, in wrap_socket
return self.sslsocket_class._create(
File "/usr/lib/python3.10/ssl.py", line 1100, in _create
self.do_handshake()
File "/usr/lib/python3.10/ssl.py", line 1371, in do_handshake
self._sslobj.do_handshake()
ConnectionResetError: [Errno 104] Connection reset by peer
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 767, in evaluateAnswerMultiShot
answerResultRecords = self.getSparqlResultRecords(sparqlStr=answerSparql)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/bench/SparqlSyntaxFixingListLcQuad/task.py", line 74, in getSparqlResultRecords
return executeSparql(query=sparqlStr, endpoint=sparqlEndpointWikidata, resultForm="records", rateLimit=5, errorRateLimit=30)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 339, in executeSparql
raise e
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 334, in executeSparql
results = _executeSparql(sparql)
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-lM_Xw7Gx-py3.10/lib/python3.10/site-packages/backoff/_sync.py", line 105, in retry
ret = target(*args, **kwargs)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 325, in _executeSparql
return sparqlWrapper.query().convert()
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-lM_Xw7Gx-py3.10/lib/python3.10/site-packages/SPARQLWrapper/Wrapper.py", line 960, in query
return QueryResult(self._query())
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-lM_Xw7Gx-py3.10/lib/python3.10/site-packages/SPARQLWrapper/Wrapper.py", line 926, in _query
response = urlopener(request)
File "/usr/lib/python3.10/urllib/request.py", line 216, in urlopen
return opener.open(url, data, timeout)
File "/usr/lib/python3.10/urllib/request.py", line 519, in open
response = self._open(req, data)
File "/usr/lib/python3.10/urllib/request.py", line 536, in _open
result = self._call_chain(self.handle_open, protocol, protocol +
File "/usr/lib/python3.10/urllib/request.py", line 496, in _call_chain
result = func(*args)
File "/usr/lib/python3.10/urllib/request.py", line 1391, in https_open
return self.do_open(http.client.HTTPSConnection, req,
File "/usr/lib/python3.10/urllib/request.py", line 1351, in do_open
raise URLError(err)
urllib.error.URLError: <urlopen error [Errno 104] Connection reset by peer>
[ERROR] unhashable type: 'slice'
Traceback (most recent call last):
File "/usr/lib/python3.10/urllib/request.py", line 1348, in do_open
h.request(req.get_method(), req.selector, req.data, headers,
File "/usr/lib/python3.10/http/client.py", line 1283, in request
self._send_request(method, url, body, headers, encode_chunked)
File "/usr/lib/python3.10/http/client.py", line 1329, in _send_request
self.endheaders(body, encode_chunked=encode_chunked)
File "/usr/lib/python3.10/http/client.py", line 1278, in endheaders
self._send_output(message_body, encode_chunked=encode_chunked)
File "/usr/lib/python3.10/http/client.py", line 1038, in _send_output
self.send(msg)
File "/usr/lib/python3.10/http/client.py", line 976, in send
self.connect()
File "/usr/lib/python3.10/http/client.py", line 1455, in connect
self.sock = self._context.wrap_socket(self.sock,
File "/usr/lib/python3.10/ssl.py", line 513, in wrap_socket
return self.sslsocket_class._create(
File "/usr/lib/python3.10/ssl.py", line 1100, in _create
self.do_handshake()
File "/usr/lib/python3.10/ssl.py", line 1371, in do_handshake
self._sslobj.do_handshake()
ConnectionResetError: [Errno 104] Connection reset by peer
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 767, in evaluateAnswerMultiShot
answerResultRecords = self.getSparqlResultRecords(sparqlStr=answerSparql)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/bench/SparqlSyntaxFixingListLcQuad/task.py", line 74, in getSparqlResultRecords
return executeSparql(query=sparqlStr, endpoint=sparqlEndpointWikidata, resultForm="records", rateLimit=5, errorRateLimit=30)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 339, in executeSparql
raise e
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 334, in executeSparql
results = _executeSparql(sparql)
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-lM_Xw7Gx-py3.10/lib/python3.10/site-packages/backoff/_sync.py", line 105, in retry
ret = target(*args, **kwargs)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 325, in _executeSparql
return sparqlWrapper.query().convert()
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-lM_Xw7Gx-py3.10/lib/python3.10/site-packages/SPARQLWrapper/Wrapper.py", line 960, in query
return QueryResult(self._query())
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-lM_Xw7Gx-py3.10/lib/python3.10/site-packages/SPARQLWrapper/Wrapper.py", line 926, in _query
response = urlopener(request)
File "/usr/lib/python3.10/urllib/request.py", line 216, in urlopen
return opener.open(url, data, timeout)
File "/usr/lib/python3.10/urllib/request.py", line 519, in open
response = self._open(req, data)
File "/usr/lib/python3.10/urllib/request.py", line 536, in _open
result = self._call_chain(self.handle_open, protocol, protocol +
File "/usr/lib/python3.10/urllib/request.py", line 496, in _call_chain
result = func(*args)
File "/usr/lib/python3.10/urllib/request.py", line 1391, in https_open
return self.do_open(http.client.HTTPSConnection, req,
File "/usr/lib/python3.10/urllib/request.py", line 1351, in do_open
raise URLError(err)
urllib.error.URLError: <urlopen error [Errno 104] Connection reset by peer>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/api/task.py", line 462, in orchestrateMultishotEvaluation
scoreI, infoI, nextPrompt, multiShotInfo = self.evaluateAnswerMultiShot(conversation=conversationRest, multiShotInfo=multiShotInfo)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 770, in evaluateAnswerMultiShot
info['EvaluationException': str(e)]
TypeError: unhashable type: 'slice'
[INFO] scores (short): {}
[INFO] iteration=5/10, total=5/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:42:56.051477; size=None; i=5
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=6/10, total=6/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:43:03.174727; size=None; i=6
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=7/10, total=7/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:43:10.238527; size=None; i=7
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=8/10, total=8/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:43:17.160278; size=None; i=8
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=9/10, total=9/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:43:24.555324; size=None; i=9
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=10/10, total=10/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:43:31.696054; size=None; i=10
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] model=GPT-gpt-4-1106-preview ...
[INFO] size=None
[INFO] iteration=1/10, total=11/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:43:39.068518; size=None; i=1
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=2/10, total=12/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:43:47.210608; size=None; i=2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=3/10, total=13/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:43:55.832836; size=None; i=3
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=4/10, total=14/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:44:03.967195; size=None; i=4
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=5/10, total=15/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:44:12.428877; size=None; i=5
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=6/10, total=16/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:44:22.612355; size=None; i=6
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=7/10, total=17/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:44:30.841612; size=None; i=7
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=8/10, total=18/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:44:39.185473; size=None; i=8
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=9/10, total=19/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:44:48.181149; size=None; i=9
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=10/10, total=20/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:44:57.112729; size=None; i=10
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] model=GPT-gpt-4-turbo-2024-04-09 ...
[INFO] size=None
[INFO] iteration=1/10, total=21/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:45:05.886864; size=None; i=1
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=2/10, total=22/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:45:14.805757; size=None; i=2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] scores (short): {'1': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=3/10, total=23/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:45:35.206533; size=None; i=3
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=4/10, total=24/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:45:45.122190; size=None; i=4
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=5/10, total=25/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:45:54.885632; size=None; i=5
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=6/10, total=26/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:46:04.867735; size=None; i=6
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=7/10, total=27/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:46:16.353384; size=None; i=7
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] scores (short): {'1': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=8/10, total=28/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:46:35.725763; size=None; i=8
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=9/10, total=29/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:46:46.383464; size=None; i=9
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=10/10, total=30/30, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:46:54.927313; size=None; i=10
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] Total bytes transfered(in+out) per model: {'GPT-gpt-3.5-turbo-0125': 6635, 'GPT-gpt-4-1106-preview': 6709, 'GPT-gpt-4-turbo-2024-04-09': 7112}
[INFO] done, 2024-05-09 10:47:05.065678
real 5m26,346s
user 0m3,970s
sys 0m2,358s
Completed ModelGpt-SparqlSyntaxFixingListLcQuad-10x: Model - 1/1, Task - 1/1, Iteration - 1/1
2024-05-09T10:47:05+02:00 starting: ModelGpt-Text2SparqlExecEvalListLcQuad-10x
Do 9. Mai 10:47:05 CEST 2024
[INFO] benchmark configuration set: tasks:['Text2SparqlExecEvalListLcQuad']; iterations:10; sizes:[1000]; models:['GPT-3.5t16k_2024-01', 'GPT-4t_2023-11', 'GPT-4t_2024-04']
[INFO] Start for task 'Text2SparqlExecEvalListLcQuad' version '3.0' at 2024-05-09 10:47:07.197521. Task parameter: {}
[INFO] model=GPT-gpt-3.5-turbo-0125 ...
[INFO] size=None
[INFO] iteration=1/10, total=1/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:47:07.246133; size=None; i=1
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] scores (short): {'1': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=2/10, total=2/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:47:21.710819; size=None; i=2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=3/10, total=3/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:47:45.188972; size=None; i=3
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=4/10, total=4/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:47:59.989100; size=None; i=4
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[ERROR] EndPointInternalError: The endpoint returned the HTTP status code 500.
Response:
b'SPARQL-QUERY: queryStr=SELECT (COUNT(?person) as ?count)\nWHERE {\n ?person wdt:P1082 ?population.\n ?person p:P1082 ?statement.\n ?statement ps:P1082 ?population.\n ?statement pq:P585 ?date.\n FILTER(?date = "2013-01-01T00:00:00Z"^^xsd:dateTime)\n}\njava.util.concurrent.TimeoutException\n\tat java.util.concurrent.FutureTask.get(FutureTask.java:205)\n\tat com.bigdata.rdf.sail.webapp.BigdataServlet.submitApiTask(BigdataServlet.java:292)\n\tat com.bigdata.rdf.sail.webapp.QueryServlet.doSparqlQuery(QueryServlet.java:678)\n\tat com.bigdata.rdf.sail.webapp.QueryServlet.doGet(QueryServlet.java:290)\n\tat com.bigdata.rdf.sail.webapp.RESTServlet.doGet(RESTServlet.java:240)\n\tat com.bigdata.rdf.sail.webapp.MultiTenancyServlet.doGet(MultiTenancyServlet.java:273)\n\tat javax.servlet.http.HttpServlet.service(HttpServlet.java:687)\n\tat javax.servlet.http.HttpServlet.service(HttpServlet.java:790)\n\tat org.eclipse.jetty.servlet.ServletHolder.handle(ServletHolder.java:865)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1655)\n\tat org.wikidata.query.rdf.blazegraph.throttling.ThrottlingFilter.doFilter(ThrottlingFilter.java:320)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1642)\n\tat org.wikidata.query.rdf.blazegraph.throttling.SystemOverloadFilter.doFilter(SystemOverloadFilter.java:82)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1642)\n\tat ch.qos.logback.classic.helpers.MDCInsertingServletFilter.doFilter(MDCInsertingServletFilter.java:50)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1642)\n\tat org.wikidata.query.rdf.blazegraph.filters.QueryEventSenderFilter.doFilter(QueryEventSenderFilter.java:122)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1642)\n\tat org.wikidata.query.rdf.blazegraph.filters.ClientIPFilter.doFilter(ClientIPFilter.java:43)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1642)\n\tat org.wikidata.query.rdf.blazegraph.filters.JWTIdentityFilter.doFilter(JWTIdentityFilter.java:66)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1642)\n\tat org.wikidata.query.rdf.blazegraph.filters.RealAgentFilter.doFilter(RealAgentFilter.java:33)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1642)\n\tat org.wikidata.query.rdf.blazegraph.filters.RequestConcurrencyFilter.doFilter(RequestConcurrencyFilter.java:50)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1634)\n\tat org.eclipse.jetty.servlet.ServletHandler.doHandle(ServletHandler.java:533)\n\tat org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:146)\n\tat org.eclipse.jetty.security.SecurityHandler.handle(SecurityHandler.java:548)\n\tat org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:132)\n\tat org.eclipse.jetty.server.handler.ScopedHandler.nextHandle(ScopedHandler.java:257)\n\tat org.eclipse.jetty.server.session.SessionHandler.doHandle(SessionHandler.java:1595)\n\tat org.eclipse.jetty.server.handler.ScopedHandler.nextHandle(ScopedHandler.java:255)\n\tat org.eclipse.jetty.server.handler.ContextHandler.doHandle(ContextHandler.java:1340)\n\tat org.eclipse.jetty.server.handler.ScopedHandler.nextScope(ScopedHandler.java:203)\n\tat org.eclipse.jetty.servlet.ServletHandler.doScope(ServletHandler.java:473)\n\tat org.eclipse.jetty.server.session.SessionHandler.doScope(SessionHandler.java:1564)\n\tat org.eclipse.jetty.server.handler.ScopedHandler.nextScope(ScopedHandler.java:201)\n\tat org.eclipse.jetty.server.handler.ContextHandler.doScope(ContextHandler.java:1242)\n\tat org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:144)\n\tat org.eclipse.jetty.server.handler.ContextHandlerCollection.handle(ContextHandlerCollection.java:220)\n\tat org.eclipse.jetty.server.handler.HandlerCollection.handle(HandlerCollection.java:126)\n\tat org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:132)\n\tat org.eclipse.jetty.server.Server.handle(Server.java:503)\n\tat org.eclipse.jetty.server.HttpChannel.handle(HttpChannel.java:364)\n\tat org.eclipse.jetty.server.HttpConnection.onFillable(HttpConnection.java:260)\n\tat org.eclipse.jetty.io.AbstractConnection$ReadCallback.succeeded(AbstractConnection.java:305)\n\tat org.eclipse.jetty.io.FillInterest.fillable(FillInterest.java:103)\n\tat org.eclipse.jetty.io.ChannelEndPoint$2.run(ChannelEndPoint.java:118)\n\tat org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.runTask(EatWhatYouKill.java:333)\n\tat org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.doProduce(EatWhatYouKill.java:310)\n\tat org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.tryProduce(EatWhatYouKill.java:168)\n\tat org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.run(EatWhatYouKill.java:126)\n\tat org.eclipse.jetty.util.thread.ReservedThreadExecutor$ReservedThread.run(ReservedThreadExecutor.java:366)\n\tat org.eclipse.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:765)\n\tat org.eclipse.jetty.util.thread.QueuedThreadPool$2.run(QueuedThreadPool.java:683)\n\tat java.lang.Thread.run(Thread.java:750)\n'
Traceback (most recent call last):
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-lM_Xw7Gx-py3.10/lib/python3.10/site-packages/SPARQLWrapper/Wrapper.py", line 926, in _query
response = urlopener(request)
File "/usr/lib/python3.10/urllib/request.py", line 216, in urlopen
return opener.open(url, data, timeout)
File "/usr/lib/python3.10/urllib/request.py", line 525, in open
response = meth(req, response)
File "/usr/lib/python3.10/urllib/request.py", line 634, in http_response
response = self.parent.error(
File "/usr/lib/python3.10/urllib/request.py", line 563, in error
return self._call_chain(*args)
File "/usr/lib/python3.10/urllib/request.py", line 496, in _call_chain
result = func(*args)
File "/usr/lib/python3.10/urllib/request.py", line 643, in http_error_default
raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 500: Internal Server Error
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 767, in evaluateAnswerMultiShot
answerResultRecords = self.getSparqlResultRecords(sparqlStr=answerSparql)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/bench/Text2SparqlExecEvalListLcQuad/task.py", line 34, in getSparqlResultRecords
return executeSparql(query=sparqlStr, endpoint=sparqlEndpointWikidata, resultForm="records", rateLimit=5, errorRateLimit=30)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 339, in executeSparql
raise e
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 334, in executeSparql
results = _executeSparql(sparql)
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-lM_Xw7Gx-py3.10/lib/python3.10/site-packages/backoff/_sync.py", line 105, in retry
ret = target(*args, **kwargs)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 325, in _executeSparql
return sparqlWrapper.query().convert()
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-lM_Xw7Gx-py3.10/lib/python3.10/site-packages/SPARQLWrapper/Wrapper.py", line 960, in query
return QueryResult(self._query())
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-lM_Xw7Gx-py3.10/lib/python3.10/site-packages/SPARQLWrapper/Wrapper.py", line 938, in _query
raise EndPointInternalError(e.read())
SPARQLWrapper.SPARQLExceptions.EndPointInternalError: EndPointInternalError: The endpoint returned the HTTP status code 500.
Response:
b'SPARQL-QUERY: queryStr=SELECT (COUNT(?person) as ?count)\nWHERE {\n ?person wdt:P1082 ?population.\n ?person p:P1082 ?statement.\n ?statement ps:P1082 ?population.\n ?statement pq:P585 ?date.\n FILTER(?date = "2013-01-01T00:00:00Z"^^xsd:dateTime)\n}\njava.util.concurrent.TimeoutException\n\tat java.util.concurrent.FutureTask.get(FutureTask.java:205)\n\tat com.bigdata.rdf.sail.webapp.BigdataServlet.submitApiTask(BigdataServlet.java:292)\n\tat com.bigdata.rdf.sail.webapp.QueryServlet.doSparqlQuery(QueryServlet.java:678)\n\tat com.bigdata.rdf.sail.webapp.QueryServlet.doGet(QueryServlet.java:290)\n\tat com.bigdata.rdf.sail.webapp.RESTServlet.doGet(RESTServlet.java:240)\n\tat com.bigdata.rdf.sail.webapp.MultiTenancyServlet.doGet(MultiTenancyServlet.java:273)\n\tat javax.servlet.http.HttpServlet.service(HttpServlet.java:687)\n\tat javax.servlet.http.HttpServlet.service(HttpServlet.java:790)\n\tat org.eclipse.jetty.servlet.ServletHolder.handle(ServletHolder.java:865)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1655)\n\tat org.wikidata.query.rdf.blazegraph.throttling.ThrottlingFilter.doFilter(ThrottlingFilter.java:320)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1642)\n\tat org.wikidata.query.rdf.blazegraph.throttling.SystemOverloadFilter.doFilter(SystemOverloadFilter.java:82)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1642)\n\tat ch.qos.logback.classic.helpers.MDCInsertingServletFilter.doFilter(MDCInsertingServletFilter.java:50)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1642)\n\tat org.wikidata.query.rdf.blazegraph.filters.QueryEventSenderFilter.doFilter(QueryEventSenderFilter.java:122)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1642)\n\tat org.wikidata.query.rdf.blazegraph.filters.ClientIPFilter.doFilter(ClientIPFilter.java:43)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1642)\n\tat org.wikidata.query.rdf.blazegraph.filters.JWTIdentityFilter.doFilter(JWTIdentityFilter.java:66)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1642)\n\tat org.wikidata.query.rdf.blazegraph.filters.RealAgentFilter.doFilter(RealAgentFilter.java:33)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1642)\n\tat org.wikidata.query.rdf.blazegraph.filters.RequestConcurrencyFilter.doFilter(RequestConcurrencyFilter.java:50)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1634)\n\tat org.eclipse.jetty.servlet.ServletHandler.doHandle(ServletHandler.java:533)\n\tat org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:146)\n\tat org.eclipse.jetty.security.SecurityHandler.handle(SecurityHandler.java:548)\n\tat org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:132)\n\tat org.eclipse.jetty.server.handler.ScopedHandler.nextHandle(ScopedHandler.java:257)\n\tat org.eclipse.jetty.server.session.SessionHandler.doHandle(SessionHandler.java:1595)\n\tat org.eclipse.jetty.server.handler.ScopedHandler.nextHandle(ScopedHandler.java:255)\n\tat org.eclipse.jetty.server.handler.ContextHandler.doHandle(ContextHandler.java:1340)\n\tat org.eclipse.jetty.server.handler.ScopedHandler.nextScope(ScopedHandler.java:203)\n\tat org.eclipse.jetty.servlet.ServletHandler.doScope(ServletHandler.java:473)\n\tat org.eclipse.jetty.server.session.SessionHandler.doScope(SessionHandler.java:1564)\n\tat org.eclipse.jetty.server.handler.ScopedHandler.nextScope(ScopedHandler.java:201)\n\tat org.eclipse.jetty.server.handler.ContextHandler.doScope(ContextHandler.java:1242)\n\tat org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:144)\n\tat org.eclipse.jetty.server.handler.ContextHandlerCollection.handle(ContextHandlerCollection.java:220)\n\tat org.eclipse.jetty.server.handler.HandlerCollection.handle(HandlerCollection.java:126)\n\tat org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:132)\n\tat org.eclipse.jetty.server.Server.handle(Server.java:503)\n\tat org.eclipse.jetty.server.HttpChannel.handle(HttpChannel.java:364)\n\tat org.eclipse.jetty.server.HttpConnection.onFillable(HttpConnection.java:260)\n\tat org.eclipse.jetty.io.AbstractConnection$ReadCallback.succeeded(AbstractConnection.java:305)\n\tat org.eclipse.jetty.io.FillInterest.fillable(FillInterest.java:103)\n\tat org.eclipse.jetty.io.ChannelEndPoint$2.run(ChannelEndPoint.java:118)\n\tat org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.runTask(EatWhatYouKill.java:333)\n\tat org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.doProduce(EatWhatYouKill.java:310)\n\tat org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.tryProduce(EatWhatYouKill.java:168)\n\tat org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.run(EatWhatYouKill.java:126)\n\tat org.eclipse.jetty.util.thread.ReservedThreadExecutor$ReservedThread.run(ReservedThreadExecutor.java:366)\n\tat org.eclipse.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:765)\n\tat org.eclipse.jetty.util.thread.QueuedThreadPool$2.run(QueuedThreadPool.java:683)\n\tat java.lang.Thread.run(Thread.java:750)\n'
[ERROR] unhashable type: 'slice'
Traceback (most recent call last):
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-lM_Xw7Gx-py3.10/lib/python3.10/site-packages/SPARQLWrapper/Wrapper.py", line 926, in _query
response = urlopener(request)
File "/usr/lib/python3.10/urllib/request.py", line 216, in urlopen
return opener.open(url, data, timeout)
File "/usr/lib/python3.10/urllib/request.py", line 525, in open
response = meth(req, response)
File "/usr/lib/python3.10/urllib/request.py", line 634, in http_response
response = self.parent.error(
File "/usr/lib/python3.10/urllib/request.py", line 563, in error
return self._call_chain(*args)
File "/usr/lib/python3.10/urllib/request.py", line 496, in _call_chain
result = func(*args)
File "/usr/lib/python3.10/urllib/request.py", line 643, in http_error_default
raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 500: Internal Server Error
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 767, in evaluateAnswerMultiShot
answerResultRecords = self.getSparqlResultRecords(sparqlStr=answerSparql)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/bench/Text2SparqlExecEvalListLcQuad/task.py", line 34, in getSparqlResultRecords
return executeSparql(query=sparqlStr, endpoint=sparqlEndpointWikidata, resultForm="records", rateLimit=5, errorRateLimit=30)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 339, in executeSparql
raise e
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 334, in executeSparql
results = _executeSparql(sparql)
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-lM_Xw7Gx-py3.10/lib/python3.10/site-packages/backoff/_sync.py", line 105, in retry
ret = target(*args, **kwargs)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 325, in _executeSparql
return sparqlWrapper.query().convert()
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-lM_Xw7Gx-py3.10/lib/python3.10/site-packages/SPARQLWrapper/Wrapper.py", line 960, in query
return QueryResult(self._query())
File "/home/lpm/.cache/pypoetry/virtualenvs/llm-kg-bench-lM_Xw7Gx-py3.10/lib/python3.10/site-packages/SPARQLWrapper/Wrapper.py", line 938, in _query
raise EndPointInternalError(e.read())
SPARQLWrapper.SPARQLExceptions.EndPointInternalError: EndPointInternalError: The endpoint returned the HTTP status code 500.
Response:
b'SPARQL-QUERY: queryStr=SELECT (COUNT(?person) as ?count)\nWHERE {\n ?person wdt:P1082 ?population.\n ?person p:P1082 ?statement.\n ?statement ps:P1082 ?population.\n ?statement pq:P585 ?date.\n FILTER(?date = "2013-01-01T00:00:00Z"^^xsd:dateTime)\n}\njava.util.concurrent.TimeoutException\n\tat java.util.concurrent.FutureTask.get(FutureTask.java:205)\n\tat com.bigdata.rdf.sail.webapp.BigdataServlet.submitApiTask(BigdataServlet.java:292)\n\tat com.bigdata.rdf.sail.webapp.QueryServlet.doSparqlQuery(QueryServlet.java:678)\n\tat com.bigdata.rdf.sail.webapp.QueryServlet.doGet(QueryServlet.java:290)\n\tat com.bigdata.rdf.sail.webapp.RESTServlet.doGet(RESTServlet.java:240)\n\tat com.bigdata.rdf.sail.webapp.MultiTenancyServlet.doGet(MultiTenancyServlet.java:273)\n\tat javax.servlet.http.HttpServlet.service(HttpServlet.java:687)\n\tat javax.servlet.http.HttpServlet.service(HttpServlet.java:790)\n\tat org.eclipse.jetty.servlet.ServletHolder.handle(ServletHolder.java:865)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1655)\n\tat org.wikidata.query.rdf.blazegraph.throttling.ThrottlingFilter.doFilter(ThrottlingFilter.java:320)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1642)\n\tat org.wikidata.query.rdf.blazegraph.throttling.SystemOverloadFilter.doFilter(SystemOverloadFilter.java:82)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1642)\n\tat ch.qos.logback.classic.helpers.MDCInsertingServletFilter.doFilter(MDCInsertingServletFilter.java:50)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1642)\n\tat org.wikidata.query.rdf.blazegraph.filters.QueryEventSenderFilter.doFilter(QueryEventSenderFilter.java:122)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1642)\n\tat org.wikidata.query.rdf.blazegraph.filters.ClientIPFilter.doFilter(ClientIPFilter.java:43)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1642)\n\tat org.wikidata.query.rdf.blazegraph.filters.JWTIdentityFilter.doFilter(JWTIdentityFilter.java:66)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1642)\n\tat org.wikidata.query.rdf.blazegraph.filters.RealAgentFilter.doFilter(RealAgentFilter.java:33)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1642)\n\tat org.wikidata.query.rdf.blazegraph.filters.RequestConcurrencyFilter.doFilter(RequestConcurrencyFilter.java:50)\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1634)\n\tat org.eclipse.jetty.servlet.ServletHandler.doHandle(ServletHandler.java:533)\n\tat org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:146)\n\tat org.eclipse.jetty.security.SecurityHandler.handle(SecurityHandler.java:548)\n\tat org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:132)\n\tat org.eclipse.jetty.server.handler.ScopedHandler.nextHandle(ScopedHandler.java:257)\n\tat org.eclipse.jetty.server.session.SessionHandler.doHandle(SessionHandler.java:1595)\n\tat org.eclipse.jetty.server.handler.ScopedHandler.nextHandle(ScopedHandler.java:255)\n\tat org.eclipse.jetty.server.handler.ContextHandler.doHandle(ContextHandler.java:1340)\n\tat org.eclipse.jetty.server.handler.ScopedHandler.nextScope(ScopedHandler.java:203)\n\tat org.eclipse.jetty.servlet.ServletHandler.doScope(ServletHandler.java:473)\n\tat org.eclipse.jetty.server.session.SessionHandler.doScope(SessionHandler.java:1564)\n\tat org.eclipse.jetty.server.handler.ScopedHandler.nextScope(ScopedHandler.java:201)\n\tat org.eclipse.jetty.server.handler.ContextHandler.doScope(ContextHandler.java:1242)\n\tat org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:144)\n\tat org.eclipse.jetty.server.handler.ContextHandlerCollection.handle(ContextHandlerCollection.java:220)\n\tat org.eclipse.jetty.server.handler.HandlerCollection.handle(HandlerCollection.java:126)\n\tat org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:132)\n\tat org.eclipse.jetty.server.Server.handle(Server.java:503)\n\tat org.eclipse.jetty.server.HttpChannel.handle(HttpChannel.java:364)\n\tat org.eclipse.jetty.server.HttpConnection.onFillable(HttpConnection.java:260)\n\tat org.eclipse.jetty.io.AbstractConnection$ReadCallback.succeeded(AbstractConnection.java:305)\n\tat org.eclipse.jetty.io.FillInterest.fillable(FillInterest.java:103)\n\tat org.eclipse.jetty.io.ChannelEndPoint$2.run(ChannelEndPoint.java:118)\n\tat org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.runTask(EatWhatYouKill.java:333)\n\tat org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.doProduce(EatWhatYouKill.java:310)\n\tat org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.tryProduce(EatWhatYouKill.java:168)\n\tat org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.run(EatWhatYouKill.java:126)\n\tat org.eclipse.jetty.util.thread.ReservedThreadExecutor$ReservedThread.run(ReservedThreadExecutor.java:366)\n\tat org.eclipse.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:765)\n\tat org.eclipse.jetty.util.thread.QueuedThreadPool$2.run(QueuedThreadPool.java:683)\n\tat java.lang.Thread.run(Thread.java:750)\n'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/api/task.py", line 462, in orchestrateMultishotEvaluation
scoreI, infoI, nextPrompt, multiShotInfo = self.evaluateAnswerMultiShot(conversation=conversationRest, multiShotInfo=multiShotInfo)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 770, in evaluateAnswerMultiShot
info['EvaluationException': str(e)]
TypeError: unhashable type: 'slice'
[INFO] scores (short): {}
[INFO] iteration=5/10, total=5/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:49:37.590175; size=None; i=5
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=6/10, total=6/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:49:59.565491; size=None; i=6
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=7/10, total=7/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:50:06.806702; size=None; i=7
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=8/10, total=8/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:50:30.263555; size=None; i=8
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=9/10, total=9/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:50:45.223079; size=None; i=9
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=10/10, total=10/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:50:54.519463; size=None; i=10
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=GPT-gpt-4-1106-preview ...
[INFO] size=None
[INFO] iteration=1/10, total=11/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:51:18.086939; size=None; i=1
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=2/10, total=12/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:51:27.292825; size=None; i=2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #3
[INFO] Backing off _executeSparql(...) for 1.9s (urllib.error.HTTPError: HTTP Error 429: Too Many Requests)
[INFO] Backing off _executeSparql(...) for 28.3s (urllib.error.HTTPError: HTTP Error 429: Too Many Requests)
[INFO] scores (short): {'2': {'answerParse': 1.0, 'combined': 0.536842105263158, 'f1measure': 0.4210526315789474, 'precision': 0.5, 'recall': 0.36363636363636365}}
[INFO] iteration=3/10, total=13/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:52:37.845608; size=None; i=3
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=4/10, total=14/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:52:45.886628; size=None; i=4
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=5/10, total=15/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:52:55.094103; size=None; i=5
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[ERROR] 'NoneType' object has no attribute 'strip'
Traceback (most recent call last):
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/api/task.py", line 462, in orchestrateMultishotEvaluation
scoreI, infoI, nextPrompt, multiShotInfo = self.evaluateAnswerMultiShot(conversation=conversationRest, multiShotInfo=multiShotInfo)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 753, in evaluateAnswerMultiShot
scores, info, answerParse = self.evaluateAnswerSyntax(answerSparql, scores, info, self.refSparql, self.getDefaultPrefixes())
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 674, in evaluateAnswerSyntax
info['parseErrorEmpty'] = len(answerSparql.strip())==0
AttributeError: 'NoneType' object has no attribute 'strip'
[INFO] scores (short): {}
[INFO] iteration=6/10, total=16/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:52:58.774955; size=None; i=6
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=7/10, total=17/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:53:07.492863; size=None; i=7
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=8/10, total=18/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:53:42.416406; size=None; i=8
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] scores (short): {'1': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=9/10, total=19/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:53:59.579394; size=None; i=9
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=10/10, total=20/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:54:08.081726; size=None; i=10
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=GPT-gpt-4-turbo-2024-04-09 ...
[INFO] size=None
[INFO] iteration=1/10, total=21/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:54:37.353714; size=None; i=1
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=2/10, total=22/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:54:46.780980; size=None; i=2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=3/10, total=23/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:55:24.868173; size=None; i=3
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=4/10, total=24/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:55:34.042355; size=None; i=4
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=5/10, total=25/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:55:46.703002; size=None; i=5
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=6/10, total=26/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:56:14.604062; size=None; i=6
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=7/10, total=27/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:56:24.127558; size=None; i=7
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=8/10, total=28/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:57:03.389962; size=None; i=8
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=9/10, total=29/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:57:33.795597; size=None; i=9
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=10/10, total=30/30, task=Text2SparqlExecEvalListLcQuad ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:57:42.760387; size=None; i=10
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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] Total bytes transfered(in+out) per model: {'GPT-gpt-3.5-turbo-0125': 11284, 'GPT-gpt-4-1106-preview': 10692, 'GPT-gpt-4-turbo-2024-04-09': 11080}
[INFO] done, 2024-05-09 10:58:12.313191
real 11m7,234s
user 0m5,061s
sys 0m2,386s
Completed ModelGpt-Text2SparqlExecEvalListLcQuad-10x: Model - 1/1, Task - 2/1, Iteration - 1/1
2024-05-09T10:58:12+02:00 starting: ModelGpt-Text2SparqlExecEvalListOrganizational-10x
Do 9. Mai 10:58:12 CEST 2024
[INFO] benchmark configuration set: tasks:['Text2SparqlExecEvalListOrganizational']; iterations:10; sizes:[1000]; models:['GPT-3.5t16k_2024-01', 'GPT-4t_2023-11', 'GPT-4t_2024-04']
[INFO] Start for task 'Text2SparqlExecEvalListOrganizational' version '3.0' at 2024-05-09 10:58:14.354138. Task parameter: {}
[INFO] model=GPT-gpt-3.5-turbo-0125 ...
[INFO] size=None
[INFO] iteration=1/10, total=1/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:58:14.400056; size=None; i=1
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=2/10, total=2/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:58:18.355570; size=None; i=2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=3/10, total=3/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:58:19.385663; size=None; i=3
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=4/10, total=4/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:58:20.207730; size=None; i=4
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=5/10, total=5/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:58:21.282510; size=None; i=5
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=6/10, total=6/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:58:22.809766; size=None; i=6
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=7/10, total=7/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:58:26.169255; size=None; i=7
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=8/10, total=8/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:58:30.487737; size=None; i=8
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=9/10, total=9/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:58:31.599096; size=None; i=9
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=10/10, total=10/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 10:58:32.716530; size=None; i=10
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] model=GPT-gpt-4-1106-preview ...
[INFO] size=None
[INFO] iteration=1/10, total=11/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:58:33.956109; size=None; i=1
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=2/10, total=12/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:58:42.851748; size=None; i=2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=3/10, total=13/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:58:44.479942; size=None; i=3
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=4/10, total=14/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:58:47.707467; size=None; i=4
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=5/10, total=15/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:58:50.959217; size=None; i=5
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=6/10, total=16/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:58:54.097462; size=None; i=6
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=7/10, total=17/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:58:56.326140; size=None; i=7
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=8/10, total=18/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:59:03.034150; size=None; i=8
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=9/10, total=19/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:59:05.330790; size=None; i=9
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=10/10, total=20/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 10:59:09.705891; size=None; i=10
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] model=GPT-gpt-4-turbo-2024-04-09 ...
[INFO] size=None
[INFO] iteration=1/10, total=21/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:59:13.270894; size=None; i=1
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[ERROR] 'prefix'
Traceback (most recent call last):
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/api/task.py", line 462, in orchestrateMultishotEvaluation
scoreI, infoI, nextPrompt, multiShotInfo = self.evaluateAnswerMultiShot(conversation=conversationRest, multiShotInfo=multiShotInfo)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 753, in evaluateAnswerMultiShot
scores, info, answerParse = self.evaluateAnswerSyntax(answerSparql, scores, info, self.refSparql, self.getDefaultPrefixes())
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 681, in evaluateAnswerSyntax
answerSparqlIris, _ = getPrefixesAndIrisFromQuery(query_str=answerSparql, prefixesAdd=defaultPrefixes)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 155, in getPrefixesAndIrisFromQuery
prefixes = {entry['prefix']:entry['iri'] for (type,entry) in entries if type=='PrefixDecl'}
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 155, in <dictcomp>
prefixes = {entry['prefix']:entry['iri'] for (type,entry) in entries if type=='PrefixDecl'}
KeyError: 'prefix'
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=2/10, total=22/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:59:24.301719; size=None; i=2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] scores (short): {'1': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=3/10, total=23/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:59:29.412830; size=None; i=3
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=4/10, total=24/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:59:34.762870; size=None; i=4
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=5/10, total=25/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:59:41.089720; size=None; i=5
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=6/10, total=26/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:59:45.296864; size=None; i=6
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[ERROR] 'prefix'
Traceback (most recent call last):
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/api/task.py", line 462, in orchestrateMultishotEvaluation
scoreI, infoI, nextPrompt, multiShotInfo = self.evaluateAnswerMultiShot(conversation=conversationRest, multiShotInfo=multiShotInfo)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 753, in evaluateAnswerMultiShot
scores, info, answerParse = self.evaluateAnswerSyntax(answerSparql, scores, info, self.refSparql, self.getDefaultPrefixes())
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 681, in evaluateAnswerSyntax
answerSparqlIris, _ = getPrefixesAndIrisFromQuery(query_str=answerSparql, prefixesAdd=defaultPrefixes)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 155, in getPrefixesAndIrisFromQuery
prefixes = {entry['prefix']:entry['iri'] for (type,entry) in entries if type=='PrefixDecl'}
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 155, in <dictcomp>
prefixes = {entry['prefix']:entry['iri'] for (type,entry) in entries if type=='PrefixDecl'}
KeyError: 'prefix'
[INFO] scores (short): {}
[INFO] iteration=7/10, total=27/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:59:50.742880; size=None; i=7
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] scores (short): {'1': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=8/10, total=28/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:59:55.168171; size=None; i=8
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=9/10, total=29/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 10:59:57.534658; size=None; i=9
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=10/10, total=30/30, task=Text2SparqlExecEvalListOrganizational ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 11:00:02.032144; size=None; i=10
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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: {'GPT-gpt-3.5-turbo-0125': 17503, 'GPT-gpt-4-1106-preview': 17398, 'GPT-gpt-4-turbo-2024-04-09': 17535}
[INFO] done, 2024-05-09 11:00:06.292742
real 1m53,983s
user 0m3,998s
sys 0m2,116s
Completed ModelGpt-Text2SparqlExecEvalListOrganizational-10x: Model - 1/1, Task - 3/1, Iteration - 1/1
2024-05-09T11:00:06+02:00 starting: ModelGpt-Text2SparqlExecEvalListOrgaNumerical-10x
Do 9. Mai 11:00:06 CEST 2024
[INFO] benchmark configuration set: tasks:['Text2SparqlExecEvalListOrgaNumerical']; iterations:10; sizes:[1000]; models:['GPT-3.5t16k_2024-01', 'GPT-4t_2023-11', 'GPT-4t_2024-04']
[INFO] Start for task 'Text2SparqlExecEvalListOrgaNumerical' version '3.0' at 2024-05-09 11:00:08.400719. Task parameter: {}
[INFO] model=GPT-gpt-3.5-turbo-0125 ...
[INFO] size=None
[INFO] iteration=1/10, total=1/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 11:00:08.457710; size=None; i=1
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=2/10, total=2/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 11:00:13.413418; size=None; i=2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=3/10, total=3/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 11:00:19.044991; size=None; i=3
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=4/10, total=4/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 11:00:20.190364; size=None; i=4
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[ERROR] 'prefix'
Traceback (most recent call last):
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/api/task.py", line 462, in orchestrateMultishotEvaluation
scoreI, infoI, nextPrompt, multiShotInfo = self.evaluateAnswerMultiShot(conversation=conversationRest, multiShotInfo=multiShotInfo)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 753, in evaluateAnswerMultiShot
scores, info, answerParse = self.evaluateAnswerSyntax(answerSparql, scores, info, self.refSparql, self.getDefaultPrefixes())
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 681, in evaluateAnswerSyntax
answerSparqlIris, _ = getPrefixesAndIrisFromQuery(query_str=answerSparql, prefixesAdd=defaultPrefixes)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 155, in getPrefixesAndIrisFromQuery
prefixes = {entry['prefix']:entry['iri'] for (type,entry) in entries if type=='PrefixDecl'}
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 155, in <dictcomp>
prefixes = {entry['prefix']:entry['iri'] for (type,entry) in entries if type=='PrefixDecl'}
KeyError: 'prefix'
[INFO] scores (short): {}
[INFO] iteration=5/10, total=5/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 11:00:21.799767; size=None; i=5
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=6/10, total=6/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 11:00:22.910762; size=None; i=6
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] scores (short): {'1': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=7/10, total=7/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 11:00:26.645012; size=None; i=7
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=8/10, total=8/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 11:00:30.615719; size=None; i=8
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=9/10, total=9/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 11:00:31.736612; size=None; i=9
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=10/10, total=10/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 11:00:35.925425; size=None; i=10
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] model=GPT-gpt-4-1106-preview ...
[INFO] size=None
[INFO] iteration=1/10, total=11/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 11:00:37.482915; size=None; i=1
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=2/10, total=12/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 11:00:47.546886; size=None; i=2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=3/10, total=13/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 11:00:53.055436; size=None; i=3
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=4/10, total=14/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 11:00:55.624778; size=None; i=4
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=5/10, total=15/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 11:01:03.689441; size=None; i=5
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=6/10, total=16/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 11:01:06.363918; size=None; i=6
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=7/10, total=17/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 11:01:11.363338; size=None; i=7
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #3
[ERROR] 'prefix'
Traceback (most recent call last):
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/api/task.py", line 462, in orchestrateMultishotEvaluation
scoreI, infoI, nextPrompt, multiShotInfo = self.evaluateAnswerMultiShot(conversation=conversationRest, multiShotInfo=multiShotInfo)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 753, in evaluateAnswerMultiShot
scores, info, answerParse = self.evaluateAnswerSyntax(answerSparql, scores, info, self.refSparql, self.getDefaultPrefixes())
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 681, in evaluateAnswerSyntax
answerSparqlIris, _ = getPrefixesAndIrisFromQuery(query_str=answerSparql, prefixesAdd=defaultPrefixes)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 155, in getPrefixesAndIrisFromQuery
prefixes = {entry['prefix']:entry['iri'] for (type,entry) in entries if type=='PrefixDecl'}
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 155, in <dictcomp>
prefixes = {entry['prefix']:entry['iri'] for (type,entry) in entries if type=='PrefixDecl'}
KeyError: 'prefix'
[INFO] scores (short): {'1': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=8/10, total=18/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 11:01:19.921790; size=None; i=8
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=9/10, total=19/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 11:01:22.853950; size=None; i=9
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=10/10, total=20/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-4t_2023-11--GPT-gpt-4-1106-preview; time=2024-05-09 11:01:29.152243; size=None; i=10
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] model=GPT-gpt-4-turbo-2024-04-09 ...
[INFO] size=None
[INFO] iteration=1/10, total=21/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 11:01:32.215207; size=None; i=1
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[ERROR] 'prefix'
Traceback (most recent call last):
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/api/task.py", line 462, in orchestrateMultishotEvaluation
scoreI, infoI, nextPrompt, multiShotInfo = self.evaluateAnswerMultiShot(conversation=conversationRest, multiShotInfo=multiShotInfo)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 753, in evaluateAnswerMultiShot
scores, info, answerParse = self.evaluateAnswerSyntax(answerSparql, scores, info, self.refSparql, self.getDefaultPrefixes())
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 681, in evaluateAnswerSyntax
answerSparqlIris, _ = getPrefixesAndIrisFromQuery(query_str=answerSparql, prefixesAdd=defaultPrefixes)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 155, in getPrefixesAndIrisFromQuery
prefixes = {entry['prefix']:entry['iri'] for (type,entry) in entries if type=='PrefixDecl'}
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 155, in <dictcomp>
prefixes = {entry['prefix']:entry['iri'] for (type,entry) in entries if type=='PrefixDecl'}
KeyError: 'prefix'
[INFO] scores (short): {}
[INFO] iteration=2/10, total=22/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 11:01:38.906766; size=None; i=2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[ERROR] 'prefix'
Traceback (most recent call last):
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/api/task.py", line 462, in orchestrateMultishotEvaluation
scoreI, infoI, nextPrompt, multiShotInfo = self.evaluateAnswerMultiShot(conversation=conversationRest, multiShotInfo=multiShotInfo)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 753, in evaluateAnswerMultiShot
scores, info, answerParse = self.evaluateAnswerSyntax(answerSparql, scores, info, self.refSparql, self.getDefaultPrefixes())
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 681, in evaluateAnswerSyntax
answerSparqlIris, _ = getPrefixesAndIrisFromQuery(query_str=answerSparql, prefixesAdd=defaultPrefixes)
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 155, in getPrefixesAndIrisFromQuery
prefixes = {entry['prefix']:entry['iri'] for (type,entry) in entries if type=='PrefixDecl'}
File "/mnt/d/git/LLM_KG_Bench/LlmKgBench/helper/sparqlHelper.py", line 155, in <dictcomp>
prefixes = {entry['prefix']:entry['iri'] for (type,entry) in entries if type=='PrefixDecl'}
KeyError: 'prefix'
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 1.0, 'recall': 0.0}}
[INFO] iteration=3/10, total=23/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 11:01:48.470106; size=None; i=3
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=4/10, total=24/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 11:01:51.419299; size=None; i=4
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=5/10, total=25/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 11:02:19.863866; size=None; i=5
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=6/10, total=26/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 11:02:22.637872; size=None; i=6
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] scores (short): {'1': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=7/10, total=27/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 11:02:34.276398; size=None; i=7
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 1.0, 'f1measure': 1.0, 'precision': 1.0, 'recall': 1.0}}
[INFO] iteration=8/10, total=28/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 11:02:36.605674; size=None; i=8
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] scores (short): {'0': {'answerParse': 1.0, 'combined': 0.2, 'f1measure': 0.0, 'precision': 0.0, 'recall': 0.0}}
[INFO] iteration=9/10, total=29/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 11:02:39.909521; size=None; i=9
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[INFO] starting next evaluation shot #2
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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=10/10, total=30/30, task=Text2SparqlExecEvalListOrgaNumerical ...
[INFO] evaluating model=GPT-4t_2024-04--GPT-gpt-4-turbo-2024-04-09; time=2024-05-09 11:02:51.457063; size=None; i=10
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
[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: {'GPT-gpt-3.5-turbo-0125': 21642, 'GPT-gpt-4-1106-preview': 21307, 'GPT-gpt-4-turbo-2024-04-09': 21371}
[INFO] done, 2024-05-09 11:02:56.779989
real 2m50,474s
user 0m4,324s
sys 0m2,230s
Completed ModelGpt-Text2SparqlExecEvalListOrgaNumerical-10x: Model - 1/1, Task - 4/1, Iteration - 1/1
2024-05-09T11:02:57+02:00 starting: ModelGpt-SparqlSyntaxFixingListLcQuad-20x
Do 9. Mai 11:02:57 CEST 2024
[INFO] benchmark configuration set: tasks:['SparqlSyntaxFixingListLcQuad']; iterations:20; sizes:[1000]; models:['GPT-3.5t16k_2024-01', 'GPT-4t_2023-11', 'GPT-4t_2024-04']
[INFO] Start for task 'SparqlSyntaxFixingListLcQuad' version '5.0' at 2024-05-09 11:02:58.835971. Task parameter: {}
[INFO] model=GPT-gpt-3.5-turbo-0125 ...
[INFO] size=None
[INFO] iteration=1/20, total=1/60, task=SparqlSyntaxFixingListLcQuad ...
[INFO] evaluating model=GPT-3.5t16k_2024-01--GPT-gpt-3.5-turbo-0125; time=2024-05-09 11:02:58.883830; size=None; i=1
[INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"