diff --git a/notebooks/openassistant-oasst1.1/bad_message_id_list.py b/notebooks/openassistant-oasst1.1/bad_message_id_list.py new file mode 100644 index 0000000000..fc51f26fb2 --- /dev/null +++ b/notebooks/openassistant-oasst1.1/bad_message_id_list.py @@ -0,0 +1,185 @@ +bad_message_id_list = [ + "7e93d535-dd90-48a2-beeb-b71917912e90", + "ede2cfed-22d2-421d-b218-adc7402f8a5a", + "64bfc00b-9c53-4a5d-8187-91cd2c581e78", + "80904428-577f-4cc1-95f7-c8383b093e49", + "89a37680-a7b6-4437-bd24-ecfe8395eb29", + "549a7cf2-f6bc-4b13-855f-601c714bb033", + "36be40c8-2451-4b92-99b9-97f425f6955b", + "e6933f01-4183-45bf-892c-31bdf778eee0", + "449a995f-29a4-4d04-aa56-2dab1747a417", + "4b6c83d4-b6c1-452e-b57a-a09bec46a887", + "af60f432-7fb2-4f63-b73a-6092a35bf21b", + "5ab3a8bd-bf74-4331-9564-c7e9a663de8e", + "1c001f37-ae16-49fd-9877-48ffcc8091c4", + "4fedd950-75b6-44f7-a908-3eac7d6b6056", + "15b74473-55d4-41de-bdba-6aef17b08cc2", + "e921db26-b14e-4a98-b854-ee8c07fef2d7", + 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pprint as pp\n", + "from bad_message_id_list import bad_message_id_list\n", + "\n", + "# set some pandas options to make the output more readable\n", + "pd.set_option(\"display.max_rows\", 500)\n", + "pd.set_option(\"display.max_columns\", 500)\n", + "pd.set_option(\"display.width\", 1000)\n", + "pd.set_option(\"display.max_info_columns\", 100)\n", + "\n", + "# print len bad_message_id_list\n", + "print(\"len(bad_message_id_list): \", len(bad_message_id_list))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "66497\n", + "(66497, 57)\n" + ] + }, + { + "data": { + "text/html": [ + "
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06ab24d72-0181-4594-a9cd-deaf170242fbready_for_export6ab24d72-0181-4594-a9cd-deaf170242fbc3fe8c76-fc30-4fa7-b7f8-c492f5967d182023-02-05T14:23:50.983374+00:00Can you write a short introduction about the r...prompteren3TrueFalseFalse10.01.04.0[{'message_id': 'c8e83833-ecbc-44fe-b6db-73522...0.03.00.03.00.03.00.03.00.03.00.03.00.9166673.00.1666673.00.3333333.00.6666673.00.0003.00.0004430.0000330.0002350.0001420.0003950.0000410.000027NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
15249c721-e6d7-45f3-9680-f211d7be308eready_for_export5249c721-e6d7-45f3-9680-f211d7be308e63d9c326-9eef-46ae-92bf-1cfee1fa61282023-02-06T02:16:52.167075+00:00¿CUales son las etapas del desarrollo y en qué...prompteres3TrueFalseFalse9.014.02.0[{'message_id': '851a0267-90b0-46f3-97e8-ba143...0.06.00.03.00.03.00.03.00.03.00.03.00.6250006.00.1250004.00.2500006.00.8333336.00.1254.00.0003280.0001380.0011630.0002160.0006780.0001390.0000849.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
291a934ba-cfb8-4ca9-84d0-232b43ad13abready_for_export91a934ba-cfb8-4ca9-84d0-232b43ad13ab165c88bd-cc4e-4f9e-82be-27cc957c4e802023-02-04T18:22:03.285526+00:00Can you explain contrastive learning in machin...prompteren3TrueFalseFalse12.05.0NaN[{'message_id': 'e8ca4e06-a584-4001-8594-5f633...0.03.00.03.00.03.00.03.00.03.00.03.00.8333333.00.0000003.00.3333333.00.4166673.00.0003.00.0003550.0000340.0002360.0001130.0002620.0000410.000027NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
3da92f2a6-e006-4140-b094-8992b72942aaprompt_lottery_waitingda92f2a6-e006-4140-b094-8992b72942aaef8ea553-5952-4565-bd13-a8382e2448d12023-02-06T23:02:37.161316+00:00I want you to act as my personal shopper. I wi...prompteren3TrueFalseFalseNaNNaNNaN[]0.03.00.03.00.03.00.03.00.03.00.03.00.5833333.00.2500003.00.1666673.00.6666673.00.0003.00.0003570.0000240.0001330.0000880.0001530.0000370.000028NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
47cce4047-8f87-42c4-9d75-a590c02be5b1ready_for_export7cce4047-8f87-42c4-9d75-a590c02be5b18974fb6d-49e1-4c99-aed3-e957ae5b32692023-02-05T13:18:52.133806+00:00I want to start doing astrophotography as a ho...prompteren3TrueFalseFalse7.0NaNNaN[{'message_id': '19cb94ab-d6ab-4dbd-b408-70ffb...0.03.00.03.00.03.00.03.00.03.00.03.00.9166673.00.0000003.00.0000003.00.8333333.00.0003.00.0002380.0000680.0004420.0001530.0003480.0000710.000045NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
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" + ], + "text/plain": [ + " message_tree_id tree_state message_id user_id created_date text role lang review_count review_result deleted synthetic emojis_+1 emojis__skip_reply emojis__skip_ranking replies labels_spam_value labels_spam_count labels_lang_mismatch_value labels_lang_mismatch_count labels_pii_value labels_pii_count labels_not_appropriate_value labels_not_appropriate_count labels_hate_speech_value labels_hate_speech_count labels_sexual_content_value labels_sexual_content_count labels_quality_value labels_quality_count labels_toxicity_value labels_toxicity_count labels_humor_value labels_humor_count labels_creativity_value labels_creativity_count labels_violence_value labels_violence_count detoxify_toxicity detoxify_severe_toxicity detoxify_obscene \n", + "0 6ab24d72-0181-4594-a9cd-deaf170242fb ready_for_export 6ab24d72-0181-4594-a9cd-deaf170242fb c3fe8c76-fc30-4fa7-b7f8-c492f5967d18 2023-02-05T14:23:50.983374+00:00 Can you write a short introduction about the r... prompter en 3 True False False 10.0 1.0 4.0 [{'message_id': 'c8e83833-ecbc-44fe-b6db-73522... 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.916667 3.0 0.166667 3.0 0.333333 3.0 0.666667 3.0 0.000 3.0 0.000443 0.000033 0.000235 \\\n", + "1 5249c721-e6d7-45f3-9680-f211d7be308e ready_for_export 5249c721-e6d7-45f3-9680-f211d7be308e 63d9c326-9eef-46ae-92bf-1cfee1fa6128 2023-02-06T02:16:52.167075+00:00 ¿CUales son las etapas del desarrollo y en qué... prompter es 3 True False False 9.0 14.0 2.0 [{'message_id': '851a0267-90b0-46f3-97e8-ba143... 0.0 6.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.625000 6.0 0.125000 4.0 0.250000 6.0 0.833333 6.0 0.125 4.0 0.000328 0.000138 0.001163 \n", + "2 91a934ba-cfb8-4ca9-84d0-232b43ad13ab ready_for_export 91a934ba-cfb8-4ca9-84d0-232b43ad13ab 165c88bd-cc4e-4f9e-82be-27cc957c4e80 2023-02-04T18:22:03.285526+00:00 Can you explain contrastive learning in machin... prompter en 3 True False False 12.0 5.0 NaN [{'message_id': 'e8ca4e06-a584-4001-8594-5f633... 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.833333 3.0 0.000000 3.0 0.333333 3.0 0.416667 3.0 0.000 3.0 0.000355 0.000034 0.000236 \n", + "3 da92f2a6-e006-4140-b094-8992b72942aa prompt_lottery_waiting da92f2a6-e006-4140-b094-8992b72942aa ef8ea553-5952-4565-bd13-a8382e2448d1 2023-02-06T23:02:37.161316+00:00 I want you to act as my personal shopper. I wi... prompter en 3 True False False NaN NaN NaN [] 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.583333 3.0 0.250000 3.0 0.166667 3.0 0.666667 3.0 0.000 3.0 0.000357 0.000024 0.000133 \n", + "4 7cce4047-8f87-42c4-9d75-a590c02be5b1 ready_for_export 7cce4047-8f87-42c4-9d75-a590c02be5b1 8974fb6d-49e1-4c99-aed3-e957ae5b3269 2023-02-05T13:18:52.133806+00:00 I want to start doing astrophotography as a ho... prompter en 3 True False False 7.0 NaN NaN [{'message_id': '19cb94ab-d6ab-4dbd-b408-70ffb... 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.916667 3.0 0.000000 3.0 0.000000 3.0 0.833333 3.0 0.000 3.0 0.000238 0.000068 0.000442 \n", + "\n", + " detoxify_identity_attack detoxify_insult detoxify_threat detoxify_sexual_explicit emojis_-1 emojis__skip_labeling labels_helpfulness_value labels_helpfulness_count emojis_red_flag labels_political_content_value labels_political_content_count labels_fails_task_value labels_fails_task_count labels_moral_judgement_value labels_moral_judgement_count model_name \n", + "0 0.000142 0.000395 0.000041 0.000027 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "1 0.000216 0.000678 0.000139 0.000084 9.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "2 0.000113 0.000262 0.000041 0.000027 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "3 0.000088 0.000153 0.000037 0.000028 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "4 0.000153 0.000348 0.000071 0.000045 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# get oasst1 data into a df\n", + "oasst1_file = \"C:\\\\Users\\\\andre\\\\Downloads\\\\oasst1_2023-04-12_oasst_all_trees\\\\2023-04-12_oasst_all.trees.jsonl\"\n", + "oasst1_data = []\n", + "with open(oasst1_file) as f:\n", + " for line in f:\n", + " oasst1_data.append(json.loads(line))\n", + "print(len(oasst1_data))\n", + "\n", + "# json data is nested, so we need to flatten it\n", + "df_oasst1 = pd.json_normalize(oasst1_data)\n", + "# clean up column names\n", + "df_oasst1.columns = [col.replace(\"prompt.\", \"\").replace(\".\", \"_\") for col in df_oasst1.columns]\n", + "print(df_oasst1.shape)\n", + "display(df_oasst1.head())" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "70673\n", + "(70673, 49)\n" + ] + }, + { + "data": { + "text/html": [ + "
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0002c4715-b026-48d1-8d19-3f724a9fc1e8ready_for_export002c4715-b026-48d1-8d19-3f724a9fc1e830d0209f-a418-4fac-8157-adf8ddc21aee2023-02-05T22:44:05.434674+00:00Dame los pasos de las cosas que debería de apr...prompteres3TrueFalseFalse11.08.01.0[{'message_id': '20004f60-337b-4962-b9d0-916be...0.04.00.03.00.03.00.03.00.03.00.03.00.8125004.00.1666673.00.3333333.00.5000003.00.0000003.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1002c56dc-ad52-4dcc-b872-bfacd8b8e356prompt_lottery_waiting002c56dc-ad52-4dcc-b872-bfacd8b8e356818581ee-4355-4990-9da5-8390f1e708bd2023-02-25T21:39:07.726925+00:00Supposons que vous soyez un expert en énergie ...prompterfr3TrueFalseFalseNaNNaNNaN[]0.03.00.03.00.03.00.03.00.03.00.03.00.7500003.00.1666673.00.3333333.00.6666673.00.3333333.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2002ca85f-5bc0-4ca4-9210-b5cd3ebe0af0prompt_lottery_waiting002ca85f-5bc0-4ca4-9210-b5cd3ebe0af0773abbfe-66f5-478a-9442-c40e984408702023-02-12T13:34:41.869490+00:00¿Cuántos artículos tiene la constitución polít...prompteres3TrueFalseFalse1.0NaNNaN[]0.03.00.03.00.03.00.03.00.03.00.03.00.5833333.00.0000003.00.0833333.00.3333333.00.0000003.01.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
3002dcdac-2584-4d33-b9c2-5c94bedac80aprompt_lottery_waiting002dcdac-2584-4d33-b9c2-5c94bedac80aacf7fdd5-aee9-4db1-ab97-5c74110832ce2023-02-14T03:35:38.273451+00:00Cómo la creciente cantidad de satélites podría...prompteres3TrueFalseFalse2.0NaNNaN[]0.03.00.03.00.03.00.03.00.03.00.03.00.7500003.00.0000003.00.0000003.00.8333333.00.1666673.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
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3 True False False 11.0 8.0 1.0 [{'message_id': '20004f60-337b-4962-b9d0-916be... 0.0 4.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.812500 4.0 0.166667 3.0 0.333333 3.0 0.500000 3.0 0.000000 3.0 NaN NaN NaN \\\n", + "1 002c56dc-ad52-4dcc-b872-bfacd8b8e356 prompt_lottery_waiting 002c56dc-ad52-4dcc-b872-bfacd8b8e356 818581ee-4355-4990-9da5-8390f1e708bd 2023-02-25T21:39:07.726925+00:00 Supposons que vous soyez un expert en énergie ... prompter fr 3 True False False NaN NaN NaN [] 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.750000 3.0 0.166667 3.0 0.333333 3.0 0.666667 3.0 0.333333 3.0 NaN NaN NaN \n", + "2 002ca85f-5bc0-4ca4-9210-b5cd3ebe0af0 prompt_lottery_waiting 002ca85f-5bc0-4ca4-9210-b5cd3ebe0af0 773abbfe-66f5-478a-9442-c40e98440870 2023-02-12T13:34:41.869490+00:00 ¿Cuántos artículos tiene la constitución polít... prompter es 3 True False False 1.0 NaN NaN [] 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.583333 3.0 0.000000 3.0 0.083333 3.0 0.333333 3.0 0.000000 3.0 1.0 NaN NaN \n", + "3 002dcdac-2584-4d33-b9c2-5c94bedac80a prompt_lottery_waiting 002dcdac-2584-4d33-b9c2-5c94bedac80a acf7fdd5-aee9-4db1-ab97-5c74110832ce 2023-02-14T03:35:38.273451+00:00 Cómo la creciente cantidad de satélites podría... prompter es 3 True False False 2.0 NaN NaN [] 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.750000 3.0 0.000000 3.0 0.000000 3.0 0.833333 3.0 0.166667 3.0 NaN NaN NaN \n", + "4 002e326f-a99e-4c17-a2c7-b627a34944e4 prompt_lottery_waiting 002e326f-a99e-4c17-a2c7-b627a34944e4 2c96e467-66f0-4be7-9693-bda51356a424 2023-02-06T19:36:17.957943+00:00 Create a C program will take a array of number... prompter en 3 True False False 1.0 NaN NaN [] 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.833333 3.0 0.083333 3.0 0.000000 3.0 0.500000 3.0 0.000000 3.0 1.0 NaN NaN \n", + "\n", + " labels_helpfulness_count emojis_red_flag labels_fails_task_value labels_fails_task_count labels_moral_judgement_value labels_moral_judgement_count labels_political_content_value labels_political_content_count \n", + "0 NaN NaN NaN NaN NaN NaN NaN NaN \n", + "1 NaN NaN NaN NaN NaN NaN NaN NaN \n", + "2 NaN NaN NaN NaN NaN NaN NaN NaN \n", + "3 NaN NaN NaN NaN NaN NaN NaN NaN \n", + "4 NaN NaN NaN NaN NaN NaN NaN NaN " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# get oasst1 data into a df\n", + "oasst1dot1_file = \"C:\\\\Users\\\\andre\\\\Downloads\\\\2023-11-05_oasst_all\\\\2023-11-05_oasst_all.jsonl\"\n", + "oasst1dot1_data = []\n", + "with open(oasst1dot1_file) as f:\n", + " for line in f:\n", + " oasst1dot1_data.append(json.loads(line))\n", + "print(len(oasst1dot1_data))\n", + "\n", + "# json data is nested, so we need to flatten it\n", + "df_oasst1dot1 = pd.json_normalize(oasst1dot1_data)\n", + "# clean up column names\n", + "df_oasst1dot1.columns = [col.replace(\"prompt.\", \"\").replace(\".\", \"_\") for col in df_oasst1dot1.columns]\n", + "print(df_oasst1dot1.shape)\n", + "display(df_oasst1dot1.head())" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "in_oasst1\n", + "True 64746\n", + "False 5927\n", + "Name: count, dtype: int64\n" + ] + } + ], + "source": [ + "# flag if message in df is also in df_oasst1\n", + "df_oasst1dot1[\"in_oasst1\"] = df_oasst1dot1[\"message_tree_id\"].isin(df_oasst1[\"message_tree_id\"])\n", + "\n", + "print(df_oasst1dot1[\"in_oasst1\"].value_counts())" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "is_bad_message_id\n", + "False 70637\n", + "True 36\n", + "Name: count, dtype: int64\n" + ] + } + ], + "source": [ + "# flag if a message_tree_id or message_id is in the block list\n", + "df_oasst1dot1[\"is_bad_message_id\"] = df_oasst1dot1[\"message_tree_id\"].isin(bad_message_id_list) | df_oasst1dot1[\n", + " \"message_id\"\n", + "].isin(bad_message_id_list)\n", + "\n", + "print(df_oasst1dot1[\"is_bad_message_id\"].value_counts())" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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is_bad_message_idin_oasst1message_tree_idtree_statemessage_iduser_idcreated_datetextrolelangreview_countreview_resultdeletedsyntheticemojis_+1emojis__skip_replyemojis__skip_rankingreplieslabels_spam_valuelabels_spam_countlabels_lang_mismatch_valuelabels_lang_mismatch_countlabels_pii_valuelabels_pii_countlabels_not_appropriate_valuelabels_not_appropriate_countlabels_hate_speech_valuelabels_hate_speech_countlabels_sexual_content_valuelabels_sexual_content_countlabels_quality_valuelabels_quality_countlabels_toxicity_valuelabels_toxicity_countlabels_humor_valuelabels_humor_countlabels_creativity_valuelabels_creativity_countlabels_violence_valuelabels_violence_countemojis__skip_labelingemojis_-1labels_helpfulness_valuelabels_helpfulness_countemojis_red_flaglabels_fails_task_valuelabels_fails_task_countlabels_moral_judgement_valuelabels_moral_judgement_countlabels_political_content_valuelabels_political_content_count
0FalseTrue002c4715-b026-48d1-8d19-3f724a9fc1e8ready_for_export002c4715-b026-48d1-8d19-3f724a9fc1e830d0209f-a418-4fac-8157-adf8ddc21aee2023-02-05T22:44:05.434674+00:00Dame los pasos de las cosas que debería de apr...prompteres3TrueFalseFalse11.08.01.0[{'message_id': '20004f60-337b-4962-b9d0-916be...0.04.00.03.00.03.00.03.00.03.00.03.00.8125004.00.1666673.00.3333333.00.5000003.00.0000003.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1FalseTrue002c56dc-ad52-4dcc-b872-bfacd8b8e356prompt_lottery_waiting002c56dc-ad52-4dcc-b872-bfacd8b8e356818581ee-4355-4990-9da5-8390f1e708bd2023-02-25T21:39:07.726925+00:00Supposons que vous soyez un expert en énergie ...prompterfr3TrueFalseFalseNaNNaNNaN[]0.03.00.03.00.03.00.03.00.03.00.03.00.7500003.00.1666673.00.3333333.00.6666673.00.3333333.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2FalseTrue002ca85f-5bc0-4ca4-9210-b5cd3ebe0af0prompt_lottery_waiting002ca85f-5bc0-4ca4-9210-b5cd3ebe0af0773abbfe-66f5-478a-9442-c40e984408702023-02-12T13:34:41.869490+00:00¿Cuántos artículos tiene la constitución polít...prompteres3TrueFalseFalse1.0NaNNaN[]0.03.00.03.00.03.00.03.00.03.00.03.00.5833333.00.0000003.00.0833333.00.3333333.00.0000003.01.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
3FalseTrue002dcdac-2584-4d33-b9c2-5c94bedac80aprompt_lottery_waiting002dcdac-2584-4d33-b9c2-5c94bedac80aacf7fdd5-aee9-4db1-ab97-5c74110832ce2023-02-14T03:35:38.273451+00:00Cómo la creciente cantidad de satélites podría...prompteres3TrueFalseFalse2.0NaNNaN[]0.03.00.03.00.03.00.03.00.03.00.03.00.7500003.00.0000003.00.0000003.00.8333333.00.1666673.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
4FalseTrue002e326f-a99e-4c17-a2c7-b627a34944e4prompt_lottery_waiting002e326f-a99e-4c17-a2c7-b627a34944e42c96e467-66f0-4be7-9693-bda51356a4242023-02-06T19:36:17.957943+00:00Create a C program will take a array of number...prompteren3TrueFalseFalse1.0NaNNaN[]0.03.00.03.00.03.00.03.00.03.00.03.00.8333333.00.0833333.00.0000003.00.5000003.00.0000003.01.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
\n", + "
" + ], + "text/plain": [ + " is_bad_message_id in_oasst1 message_tree_id tree_state message_id user_id created_date text role lang review_count review_result deleted synthetic emojis_+1 emojis__skip_reply emojis__skip_ranking replies labels_spam_value labels_spam_count labels_lang_mismatch_value labels_lang_mismatch_count labels_pii_value labels_pii_count labels_not_appropriate_value labels_not_appropriate_count labels_hate_speech_value labels_hate_speech_count labels_sexual_content_value labels_sexual_content_count labels_quality_value labels_quality_count labels_toxicity_value labels_toxicity_count labels_humor_value labels_humor_count labels_creativity_value labels_creativity_count labels_violence_value labels_violence_count emojis__skip_labeling emojis_-1 \n", + "0 False True 002c4715-b026-48d1-8d19-3f724a9fc1e8 ready_for_export 002c4715-b026-48d1-8d19-3f724a9fc1e8 30d0209f-a418-4fac-8157-adf8ddc21aee 2023-02-05T22:44:05.434674+00:00 Dame los pasos de las cosas que debería de apr... prompter es 3 True False False 11.0 8.0 1.0 [{'message_id': '20004f60-337b-4962-b9d0-916be... 0.0 4.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.812500 4.0 0.166667 3.0 0.333333 3.0 0.500000 3.0 0.000000 3.0 NaN NaN \\\n", + "1 False True 002c56dc-ad52-4dcc-b872-bfacd8b8e356 prompt_lottery_waiting 002c56dc-ad52-4dcc-b872-bfacd8b8e356 818581ee-4355-4990-9da5-8390f1e708bd 2023-02-25T21:39:07.726925+00:00 Supposons que vous soyez un expert en énergie ... prompter fr 3 True False False NaN NaN NaN [] 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.750000 3.0 0.166667 3.0 0.333333 3.0 0.666667 3.0 0.333333 3.0 NaN NaN \n", + "2 False True 002ca85f-5bc0-4ca4-9210-b5cd3ebe0af0 prompt_lottery_waiting 002ca85f-5bc0-4ca4-9210-b5cd3ebe0af0 773abbfe-66f5-478a-9442-c40e98440870 2023-02-12T13:34:41.869490+00:00 ¿Cuántos artículos tiene la constitución polít... prompter es 3 True False False 1.0 NaN NaN [] 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.583333 3.0 0.000000 3.0 0.083333 3.0 0.333333 3.0 0.000000 3.0 1.0 NaN \n", + "3 False True 002dcdac-2584-4d33-b9c2-5c94bedac80a prompt_lottery_waiting 002dcdac-2584-4d33-b9c2-5c94bedac80a acf7fdd5-aee9-4db1-ab97-5c74110832ce 2023-02-14T03:35:38.273451+00:00 Cómo la creciente cantidad de satélites podría... prompter es 3 True False False 2.0 NaN NaN [] 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.750000 3.0 0.000000 3.0 0.000000 3.0 0.833333 3.0 0.166667 3.0 NaN NaN \n", + "4 False True 002e326f-a99e-4c17-a2c7-b627a34944e4 prompt_lottery_waiting 002e326f-a99e-4c17-a2c7-b627a34944e4 2c96e467-66f0-4be7-9693-bda51356a424 2023-02-06T19:36:17.957943+00:00 Create a C program will take a array of number... prompter en 3 True False False 1.0 NaN NaN [] 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.0 3.0 0.833333 3.0 0.083333 3.0 0.000000 3.0 0.500000 3.0 0.000000 3.0 1.0 NaN \n", + "\n", + " labels_helpfulness_value labels_helpfulness_count emojis_red_flag labels_fails_task_value labels_fails_task_count labels_moral_judgement_value labels_moral_judgement_count labels_political_content_value labels_political_content_count \n", + "0 NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "1 NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "2 NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "3 NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "4 NaN NaN NaN NaN NaN NaN NaN NaN NaN " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# move in_oasst1 to front\n", + "cols = list(df_oasst1dot1.columns)\n", + "cols.insert(0, cols.pop(cols.index(\"in_oasst1\")))\n", + "df_oasst1dot1 = df_oasst1dot1.loc[:, cols]\n", + "cols.insert(0, cols.pop(cols.index(\"is_bad_message_id\")))\n", + "df_oasst1dot1 = df_oasst1dot1.loc[:, cols]\n", + "display(df_oasst1dot1.head())" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 70673 entries, 0 to 70672\n", + "Data columns (total 51 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 is_bad_message_id 70673 non-null bool \n", + " 1 in_oasst1 70673 non-null bool \n", + " 2 message_tree_id 70673 non-null object \n", + " 3 tree_state 70673 non-null object \n", + " 4 message_id 70673 non-null object \n", + " 5 user_id 70673 non-null object \n", + " 6 created_date 70673 non-null object \n", + " 7 text 70673 non-null object \n", + " 8 role 70673 non-null object \n", + " 9 lang 70673 non-null object \n", + " 10 review_count 70673 non-null int64 \n", + " 11 review_result 66329 non-null object \n", + " 12 deleted 70673 non-null bool \n", + " 13 synthetic 70673 non-null bool \n", + " 14 emojis_+1 38455 non-null float64\n", + " 15 emojis__skip_reply 14414 non-null float64\n", + " 16 emojis__skip_ranking 7370 non-null float64\n", + " 17 replies 70673 non-null object \n", + " 18 labels_spam_value 69591 non-null float64\n", + " 19 labels_spam_count 69591 non-null float64\n", + " 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labels_creativity_count 69367 non-null float64\n", + " 38 labels_violence_value 69381 non-null float64\n", + " 39 labels_violence_count 69381 non-null float64\n", + " 40 emojis__skip_labeling 12777 non-null float64\n", + " 41 emojis_-1 7066 non-null float64\n", + " 42 labels_helpfulness_value 54 non-null float64\n", + " 43 labels_helpfulness_count 54 non-null float64\n", + " 44 emojis_red_flag 745 non-null float64\n", + " 45 labels_fails_task_value 23 non-null float64\n", + " 46 labels_fails_task_count 23 non-null float64\n", + " 47 labels_moral_judgement_value 23 non-null float64\n", + " 48 labels_moral_judgement_count 23 non-null float64\n", + " 49 labels_political_content_value 24 non-null float64\n", + " 50 labels_political_content_count 24 non-null float64\n", + "dtypes: bool(4), float64(36), int64(1), object(10)\n", + "memory usage: 25.6+ MB\n" + ] + } + ], + "source": [ + "df_oasst1dot1.info(verbose=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[{'created_date': '2023-01-25T01:28:48.251568+00:00',\n", + " 'deleted': False,\n", + " 'labels': {'spam': {'count': 3, 'value': 0.0}},\n", + " 'lang': 'en',\n", + " 'message_id': '97223697-d528-4ae5-b3d9-d146e37d90af',\n", + " 'parent_id': '85209e8a-99f6-44f6-9ce0-efc7b2008306',\n", + " 'rank': 0,\n", + " 'replies': [{'created_date': '2023-01-28T21:49:07.762098+00:00',\n", + " 'deleted': False,\n", + " 'labels': {'creativity': {'count': 1, 'value': 0.0},\n", + " 'hate_speech': {'count': 1, 'value': 0.0},\n", + " 'helpfulness': {'count': 1, 'value': 1.0},\n", + " 'humor': {'count': 1, 'value': 0.0},\n", + " 'not_appropriate': {'count': 1, 'value': 0.0},\n", + " 'pii': {'count': 1, 'value': 0.0},\n", + " 'quality': {'count': 3, 'value': 1.0},\n", + " 'sexual_content': {'count': 1, 'value': 0.0},\n", + " 'spam': {'count': 3, 'value': 0.0},\n", + " 'toxicity': {'count': 1, 'value': 0.0},\n", + " 'violence': {'count': 1, 'value': 0.0}},\n", + " 'lang': 'en',\n", + " 'message_id': '1c5ebd2c-2fc6-44fb-8d63-1118385e53cf',\n", + " 'parent_id': '97223697-d528-4ae5-b3d9-d146e37d90af',\n", + " 'replies': [{'created_date': '2023-01-28T22:25:41.785334+00:00',\n", + " 'deleted': False,\n", + " 'labels': {'creativity': {'count': 2,\n", + " 'value': 0.625},\n", + " 'fails_task': {'count': 2, 'value': 0.0},\n", + " 'hate_speech': {'count': 2,\n", + " 'value': 0.0},\n", + " 'helpfulness': {'count': 2,\n", + " 'value': 1.0},\n", + " 'humor': {'count': 2, 'value': 0.0},\n", + " 'not_appropriate': {'count': 2,\n", + " 'value': 0.0},\n", + " 'pii': {'count': 2, 'value': 0.0},\n", + " 'quality': {'count': 3, 'value': 1.0},\n", + " 'sexual_content': {'count': 2,\n", + " 'value': 0.0},\n", + " 'spam': {'count': 3, 'value': 0.0},\n", + " 'toxicity': {'count': 2, 'value': 0.0},\n", + " 'violence': {'count': 2, 'value': 0.0}},\n", + " 'lang': 'en',\n", + " 'message_id': 'fe88e7f2-ef68-4acc-ac07-3c13ef8bc217',\n", + " 'parent_id': '1c5ebd2c-2fc6-44fb-8d63-1118385e53cf',\n", + " 'rank': 0,\n", + " 'replies': [],\n", + " 'review_count': 3,\n", + " 'review_result': True,\n", + " 'role': 'assistant',\n", + " 'synthetic': False,\n", + " 'text': 'There are several advantages of Linux '\n", + " 'over MacOS:\\n'\n", + " '\\n'\n", + " '1. Cost: Linux is open-source software '\n", + " 'and is free to use, while MacOS is '\n", + " 'proprietary and requires the purchase of '\n", + " 'a Mac \\n'\n", + " '\\n'\n", + " '2. Customization: Linux offers a high '\n", + " 'degree of customization, allowing users '\n", + " 'to tailor the operating system to their '\n", + " 'specific needs and preferences. MacOS, on '\n", + " 'the other hand, is more limited in terms '\n", + " 'of customization options.\\n'\n", + " '\\n'\n", + " '3. Security: Linux is generally '\n", + " 'considered to be more secure than MacOS, '\n", + " 'as it is less susceptible to viruses and '\n", + " 'malware.\\n'\n", + " '\\n'\n", + " '4. Compatibility: Linux is compatible '\n", + " 'with a wide range of hardware, making it '\n", + " 'a good choice for older or less powerful '\n", + " 'devices. MacOS, on the other hand, is '\n", + " 'only compatible with Apple hardware.\\n'\n", + " '\\n'\n", + " '5. Flexibility: Linux is widely used in '\n", + " 'servers, embedded systems and mobile '\n", + " 'devices, and is flexible enough to be '\n", + " 'used in a variety of different '\n", + " 'environments, while MacOS is primarily '\n", + " 'used in personal and creative work.\\n'\n", + " '\\n'\n", + " '6. Variety: There are many different '\n", + " 'distributions of Linux, each with its own '\n", + " 'set of features and tools, while MacOS is '\n", + " 'only one option.',\n", + " 'user_id': '52a85953-f8f0-444c-80d0-b0818b39645a'},\n", + " {'created_date': '2023-01-28T22:33:02.490733+00:00',\n", + " 'deleted': False,\n", + " 'labels': {'creativity': {'count': 2,\n", + " 'value': 0.625},\n", + " 'fails_task': {'count': 2, 'value': 0.0},\n", + " 'hate_speech': {'count': 2,\n", + " 'value': 0.0},\n", + " 'helpfulness': {'count': 2,\n", + " 'value': 0.875},\n", + " 'humor': {'count': 2, 'value': 0.125},\n", + " 'not_appropriate': {'count': 2,\n", + " 'value': 0.0},\n", + " 'pii': {'count': 2, 'value': 0.0},\n", + " 'quality': {'count': 3,\n", + " 'value': 0.9166666666666666},\n", + " 'sexual_content': {'count': 2,\n", + " 'value': 0.0},\n", + " 'spam': {'count': 3, 'value': 0.0},\n", + " 'toxicity': {'count': 2, 'value': 0.0},\n", + " 'violence': {'count': 2, 'value': 0.0}},\n", + " 'lang': 'en',\n", + " 'message_id': 'e899dce2-e6d6-4862-9402-c15988f2c743',\n", + " 'parent_id': '1c5ebd2c-2fc6-44fb-8d63-1118385e53cf',\n", + " 'rank': 1,\n", + " 'replies': [],\n", + " 'review_count': 3,\n", + " 'review_result': True,\n", + " 'role': 'assistant',\n", + " 'synthetic': False,\n", + " 'text': 'There are several advantages to using '\n", + " 'Linux over macOS:\\n'\n", + " '1. Price: Linux is free and open-source '\n", + " 'software, whereas macOS is a proprietary '\n", + " 'operating system that requires you to '\n", + " 'purchase a license.\\n'\n", + " '2. Customization: Linux is highly '\n", + " 'customizable and allows you to tailor the '\n", + " 'operating system to your specific needs.\\n'\n", + " '3. Compatibility: Linux is compatible '\n", + " 'with a wider range of hardware.\\n'\n", + " '4. Security: While there is not a 100% '\n", + " 'secure operating system, Linux is '\n", + " 'considered to offer better security when '\n", + " 'properly configured than macOS.\\n'\n", + " '5. Open Source: Linux is completely '\n", + " 'open-source, which means that users can '\n", + " 'access the source code and make '\n", + " 'modifications to it to better suit their '\n", + " 'needs.',\n", + " 'user_id': 'b7c9e643-cfd0-4864-85a8-6e249ae710bd'},\n", + " {'created_date': '2023-01-28T22:30:32.334036+00:00',\n", + " 'deleted': False,\n", + " 'labels': {'creativity': {'count': 2,\n", + " 'value': 0.375},\n", + " 'fails_task': {'count': 2, 'value': 0.0},\n", + " 'hate_speech': {'count': 2,\n", + " 'value': 0.0},\n", + " 'helpfulness': {'count': 2,\n", + " 'value': 0.75},\n", + " 'humor': {'count': 2, 'value': 0.0},\n", + " 'not_appropriate': {'count': 2,\n", + " 'value': 0.0},\n", + " 'pii': {'count': 2, 'value': 0.0},\n", + " 'quality': {'count': 3, 'value': 0.75},\n", + " 'sexual_content': {'count': 2,\n", + " 'value': 0.0},\n", + " 'spam': {'count': 3, 'value': 0.0},\n", + " 'toxicity': {'count': 2, 'value': 0.0},\n", + " 'violence': {'count': 2,\n", + " 'value': 0.125}},\n", + " 'lang': 'en',\n", + " 'message_id': '2272b304-ea34-4c98-bab8-167c1bb117ae',\n", + " 'parent_id': '1c5ebd2c-2fc6-44fb-8d63-1118385e53cf',\n", + " 'rank': 2,\n", + " 'replies': [],\n", + " 'review_count': 3,\n", + " 'review_result': True,\n", + " 'role': 'assistant',\n", + " 'synthetic': False,\n", + " 'text': 'Linux offers a lot of the same features '\n", + " 'as MacOS, but with greater flexibility '\n", + " 'and control over the system. You can '\n", + " 'customize the user interface to fit your '\n", + " 'needs, and you can choose from a wide '\n", + " 'range of applications to run on your '\n", + " 'system. Additionally, many Linux '\n", + " 'distributions are free and open-source, '\n", + " 'meaning that they are constantly updated '\n", + " 'with new features and bug fixes. Security '\n", + " 'is also an advantage of Linux, as it is '\n", + " 'far less likely to be compromised than '\n", + " 'MacOS due to its open-source nature.',\n", + " 'user_id': '00bbfff8-0e6a-4e46-93cc-65785d78c8bc'},\n", + " {'created_date': '2023-01-28T22:29:00.893447+00:00',\n", + " 'deleted': False,\n", + " 'labels': {'creativity': {'count': 2,\n", + " 'value': 0.125},\n", + " 'fails_task': {'count': 2, 'value': 0.0},\n", + " 'hate_speech': {'count': 2,\n", + " 'value': 0.0},\n", + " 'helpfulness': {'count': 2,\n", + " 'value': 0.625},\n", + " 'humor': {'count': 2, 'value': 0.0},\n", + " 'not_appropriate': {'count': 2,\n", + " 'value': 0.0},\n", + " 'pii': {'count': 2, 'value': 0.0},\n", + " 'quality': {'count': 3, 'value': 0.75},\n", + " 'sexual_content': {'count': 2,\n", + " 'value': 0.0},\n", + " 'spam': {'count': 3, 'value': 0.0},\n", + " 'toxicity': {'count': 2, 'value': 0.125},\n", + " 'violence': {'count': 2, 'value': 0.0}},\n", + " 'lang': 'en',\n", + " 'message_id': 'bd645c46-1662-4c99-9474-f81abe2edb15',\n", + " 'parent_id': '1c5ebd2c-2fc6-44fb-8d63-1118385e53cf',\n", + " 'rank': 3,\n", + " 'replies': [],\n", + " 'review_count': 3,\n", + " 'review_result': True,\n", + " 'role': 'assistant',\n", + " 'synthetic': False,\n", + " 'text': 'While Linux and MacOS are both Unix-like, '\n", + " 'Linux is open source and allows for '\n", + " 'greater customisation and control over '\n", + " 'the system.',\n", + " 'user_id': '4587f08b-b793-40c7-83b9-4aaaca5aeb96'}],\n", + " 'review_count': 3,\n", + " 'review_result': True,\n", + " 'role': 'prompter',\n", + " 'synthetic': False,\n", + " 'text': 'What about the advantages of Linux over MacOS?',\n", + " 'user_id': '4b683709-b248-4ecf-afa9-7e68d2d3ed3e'},\n", + " {'created_date': '2023-01-29T00:49:44.836965+00:00',\n", + " 'deleted': False,\n", + " 'labels': {'creativity': {'count': 2, 'value': 0.5},\n", + " 'hate_speech': {'count': 2, 'value': 0.0},\n", + " 'helpfulness': {'count': 2, 'value': 0.75},\n", + " 'humor': {'count': 2, 'value': 0.25},\n", + " 'not_appropriate': {'count': 2, 'value': 0.0},\n", + " 'pii': {'count': 2, 'value': 0.0},\n", + " 'quality': {'count': 3, 'value': 0.8333333333333334},\n", + " 'sexual_content': {'count': 2, 'value': 0.0},\n", + " 'spam': {'count': 3, 'value': 0.0},\n", + " 'toxicity': {'count': 2, 'value': 0.25},\n", + " 'violence': {'count': 2, 'value': 0.0}},\n", + " 'lang': 'en',\n", + " 'message_id': '33c0ef1b-abef-475b-afa2-9e1393f44f0d',\n", + " 'parent_id': '97223697-d528-4ae5-b3d9-d146e37d90af',\n", + " 'replies': [],\n", + " 'review_count': 3,\n", + " 'review_result': True,\n", + " 'role': 'prompter',\n", + " 'synthetic': False,\n", + " 'text': 'What could I tell someone who hates Linux for no good '\n", + " 'reason?',\n", + " 'user_id': '00bbfff8-0e6a-4e46-93cc-65785d78c8bc'},\n", + " {'created_date': '2023-01-28T21:50:28.672523+00:00',\n", + " 'deleted': False,\n", + " 'labels': {'creativity': {'count': 2, 'value': 0.125},\n", + " 'hate_speech': {'count': 2, 'value': 0.0},\n", + " 'helpfulness': {'count': 2, 'value': 0.75},\n", + " 'humor': {'count': 2, 'value': 0.25},\n", + " 'not_appropriate': {'count': 2, 'value': 0.0},\n", + " 'pii': {'count': 2, 'value': 0.0},\n", + " 'quality': {'count': 3, 'value': 0.75},\n", + " 'sexual_content': {'count': 2, 'value': 0.0},\n", + " 'spam': {'count': 3, 'value': 0.0},\n", + " 'toxicity': {'count': 2, 'value': 0.25},\n", + " 'violence': {'count': 2, 'value': 0.0}},\n", + " 'lang': 'en',\n", + " 'message_id': '38c6464b-bb1d-41a5-aafb-4c6c3ee7087e',\n", + " 'parent_id': '97223697-d528-4ae5-b3d9-d146e37d90af',\n", + " 'replies': [],\n", + " 'review_count': 3,\n", + " 'review_result': True,\n", + " 'role': 'prompter',\n", + " 'synthetic': False,\n", + " 'text': 'What are the advantages of using Windows over Linux '\n", + " 'then?',\n", + " 'user_id': '52a85953-f8f0-444c-80d0-b0818b39645a'},\n", + " {'created_date': '2023-01-28T23:06:35.625728+00:00',\n", + " 'deleted': False,\n", + " 'labels': {'creativity': {'count': 2, 'value': 0.25},\n", + " 'hate_speech': {'count': 2, 'value': 0.0},\n", + " 'helpfulness': {'count': 2, 'value': 0.625},\n", + " 'humor': {'count': 2, 'value': 0.25},\n", + " 'not_appropriate': {'count': 2, 'value': 0.0},\n", + " 'pii': {'count': 2, 'value': 0.0},\n", + " 'quality': {'count': 3, 'value': 0.75},\n", + " 'sexual_content': {'count': 2, 'value': 0.0},\n", + " 'spam': {'count': 3, 'value': 0.0},\n", + " 'toxicity': {'count': 2, 'value': 0.125},\n", + " 'violence': {'count': 2, 'value': 0.0}},\n", + " 'lang': 'en',\n", + " 'message_id': '53ed981d-587d-49ca-a342-970b6464bfc2',\n", + " 'parent_id': '97223697-d528-4ae5-b3d9-d146e37d90af',\n", + " 'replies': [],\n", + " 'review_count': 3,\n", + " 'review_result': True,\n", + " 'role': 'prompter',\n", + " 'synthetic': False,\n", + " 'text': 'Is Windows open-source?',\n", + " 'user_id': '4cc27c8e-4ac4-4f6f-aee9-f0f8c884123a'},\n", + " {'created_date': '2023-01-26T10:12:23.016092+00:00',\n", + " 'deleted': False,\n", + " 'emojis': {'+1': 1},\n", + " 'labels': {'creativity': {'count': 1, 'value': 0.0},\n", + " 'hate_speech': {'count': 1, 'value': 0.0},\n", + " 'helpfulness': {'count': 1, 'value': 1.0},\n", + " 'humor': {'count': 1, 'value': 0.0},\n", + " 'not_appropriate': {'count': 1, 'value': 0.0},\n", + " 'pii': {'count': 1, 'value': 0.0},\n", + " 'quality': {'count': 1, 'value': 0.75},\n", + " 'sexual_content': {'count': 1, 'value': 0.0},\n", + " 'spam': {'count': 3, 'value': 0.0},\n", + " 'toxicity': {'count': 1, 'value': 0.0},\n", + " 'violence': {'count': 1, 'value': 0.0}},\n", + " 'lang': 'en',\n", + " 'message_id': '95e57fae-70ef-419e-a8c7-e6d3884573cf',\n", + " 'parent_id': '97223697-d528-4ae5-b3d9-d146e37d90af',\n", + " 'replies': [{'created_date': '2023-01-29T00:36:56.943025+00:00',\n", + " 'deleted': False,\n", + " 'labels': {'creativity': {'count': 2,\n", + " 'value': 0.375},\n", + " 'fails_task': {'count': 2, 'value': 0.0},\n", + " 'hate_speech': {'count': 2,\n", + " 'value': 0.0},\n", + " 'helpfulness': {'count': 2,\n", + " 'value': 1.0},\n", + " 'humor': {'count': 2, 'value': 0.0},\n", + " 'not_appropriate': {'count': 2,\n", + " 'value': 0.0},\n", + " 'pii': {'count': 2, 'value': 0.0},\n", + " 'quality': {'count': 3,\n", + " 'value': 0.9166666666666666},\n", + " 'sexual_content': {'count': 2,\n", + " 'value': 0.0},\n", + " 'spam': {'count': 3, 'value': 0.0},\n", + " 'toxicity': {'count': 2, 'value': 0.0},\n", + " 'violence': {'count': 2, 'value': 0.5}},\n", + " 'lang': 'en',\n", + " 'message_id': '928f6a23-c7c8-4544-b606-e21fc14de60b',\n", + " 'parent_id': '95e57fae-70ef-419e-a8c7-e6d3884573cf',\n", + " 'rank': 0,\n", + " 'replies': [],\n", + " 'review_count': 3,\n", + " 'review_result': True,\n", + " 'role': 'assistant',\n", + " 'synthetic': False,\n", + " 'text': 'The best Linux version for you will '\n", + " 'depend on your specific needs and '\n", + " 'requirements. Some popular and '\n", + " 'widely-used options include:\\n'\n", + " '\\n'\n", + " '- Ubuntu: A user-friendly and stable '\n", + " 'option that is often recommended for '\n", + " 'beginners and users looking for a '\n", + " 'general-purpose operating system.\\n'\n", + " '\\n'\n", + " '- Debian: A more advanced and '\n", + " 'customizable option that is often used as '\n", + " 'the base for other Linux distributions.\\n'\n", + " '\\n'\n", + " '- Fedora: A Red Hat-backed distribution '\n", + " 'that is often used for development and '\n", + " 'testing.\\n'\n", + " '- Arch Linux: A lightweight and highly '\n", + " 'customizable option that is popular among '\n", + " 'experienced Linux users.\\n'\n", + " '\\n'\n", + " 'You can also try out several versions of '\n", + " 'Linux using a virtual machine or a live '\n", + " 'CD/USB before installing it on your '\n", + " 'machine.',\n", + " 'user_id': '52a85953-f8f0-444c-80d0-b0818b39645a'},\n", + " {'created_date': '2023-01-28T21:40:24.128904+00:00',\n", + " 'deleted': False,\n", + " 'labels': {'creativity': {'count': 2, 'value': 0.0},\n", + " 'fails_task': {'count': 2, 'value': 0.0},\n", + " 'hate_speech': {'count': 2,\n", + " 'value': 0.0},\n", + " 'helpfulness': {'count': 2,\n", + " 'value': 0.875},\n", + " 'humor': {'count': 2, 'value': 0.0},\n", + " 'not_appropriate': {'count': 2,\n", + " 'value': 0.0},\n", + " 'pii': {'count': 2, 'value': 0.0},\n", + " 'quality': {'count': 3,\n", + " 'value': 0.8333333333333334},\n", + " 'sexual_content': {'count': 2,\n", + " 'value': 0.0},\n", + " 'spam': {'count': 3, 'value': 0.0},\n", + " 'toxicity': {'count': 2, 'value': 0.0},\n", + " 'violence': {'count': 2, 'value': 0.0}},\n", + " 'lang': 'en',\n", + " 'message_id': 'b509e567-0356-4a9d-94a7-02eedeb97d30',\n", + " 'parent_id': '95e57fae-70ef-419e-a8c7-e6d3884573cf',\n", + " 'rank': 1,\n", + " 'replies': [],\n", + " 'review_count': 3,\n", + " 'review_result': True,\n", + " 'role': 'assistant',\n", + " 'synthetic': False,\n", + " 'text': 'A good choice for beginners is Linux '\n", + " 'Mint. It comes with a familiar '\n", + " 'Windows-like interface, as well as an '\n", + " 'easy-to-use store with many alternatives '\n", + " \"to common Windows software. It's \"\n", + " 'indirectly based on Debian, which has by '\n", + " 'far the most support material available '\n", + " 'for it online.',\n", + " 'user_id': 'cd66a8cb-e5b8-4c6c-98e2-ad887284d201'},\n", + " {'created_date': '2023-01-28T22:39:52.732289+00:00',\n", + " 'deleted': False,\n", + " 'labels': {'creativity': {'count': 3,\n", + " 'value': 0.16666666666666666},\n", + " 'fails_task': {'count': 3, 'value': 0.0},\n", + " 'hate_speech': {'count': 3,\n", + " 'value': 0.0},\n", + " 'helpfulness': {'count': 3,\n", + " 'value': 0.5},\n", + " 'humor': {'count': 3,\n", + " 'value': 0.16666666666666666},\n", + " 'not_appropriate': {'count': 3,\n", + " 'value': 0.0},\n", + " 'pii': {'count': 3, 'value': 0.0},\n", + " 'quality': {'count': 3, 'value': 0.5},\n", + " 'sexual_content': {'count': 3,\n", + " 'value': 0.0},\n", + " 'spam': {'count': 3, 'value': 0.0},\n", + " 'toxicity': {'count': 3,\n", + " 'value': 0.08333333333333333},\n", + " 'violence': {'count': 3,\n", + " 'value': 0.08333333333333333}},\n", + " 'lang': 'en',\n", + " 'message_id': '06f9dd8d-8aab-4a5b-817c-a7324595ae6c',\n", + " 'parent_id': '95e57fae-70ef-419e-a8c7-e6d3884573cf',\n", + " 'rank': 2,\n", + " 'replies': [],\n", + " 'review_count': 3,\n", + " 'review_result': True,\n", + " 'role': 'assistant',\n", + " 'synthetic': False,\n", + " 'text': 'Before deciding a specific version, one '\n", + " 'must choose a distribution first. A '\n", + " 'common distribution would be Ubuntu or '\n", + " 'Fedora. There also exist a lot of '\n", + " 'distributions based on other '\n", + " 'distributions such as Raspbian which is '\n", + " 'based on Ubuntu.',\n", + " 'user_id': '17a28032-6836-402f-aee9-78dda4b6c041'},\n", + " {'created_date': '2023-01-28T21:20:04.461697+00:00',\n", + " 'deleted': False,\n", + " 'labels': {'creativity': {'count': 2,\n", + " 'value': 0.125},\n", + " 'fails_task': {'count': 1, 'value': 0.0},\n", + " 'hate_speech': {'count': 1,\n", + " 'value': 0.0},\n", + " 'helpfulness': {'count': 2,\n", + " 'value': 0.75},\n", + " 'humor': {'count': 2, 'value': 0.125},\n", + " 'not_appropriate': {'count': 1,\n", + " 'value': 0.0},\n", + " 'pii': {'count': 1, 'value': 0.0},\n", + " 'quality': {'count': 4, 'value': 0.6875},\n", + " 'sexual_content': {'count': 1,\n", + " 'value': 0.0},\n", + " 'spam': {'count': 4, 'value': 0.0},\n", + " 'toxicity': {'count': 2, 'value': 0.0},\n", + " 'violence': {'count': 2, 'value': 0.0}},\n", + " 'lang': 'en',\n", + " 'message_id': 'd9190618-199c-4f30-a39e-a758c059e92f',\n", + " 'parent_id': '95e57fae-70ef-419e-a8c7-e6d3884573cf',\n", + " 'rank': 3,\n", + " 'replies': [],\n", + " 'review_count': 3,\n", + " 'review_result': True,\n", + " 'role': 'assistant',\n", + " 'synthetic': False,\n", + " 'text': 'There are many different Linux '\n", + " 'distributions, each with their own pros '\n", + " 'and cons.\\n'\n", + " 'the Linux distribution most often '\n", + " 'recommended for Linux first-timers is '\n", + " 'Ubuntu.',\n", + " 'user_id': '4b683709-b248-4ecf-afa9-7e68d2d3ed3e'},\n", + " {'created_date': '2023-01-29T00:04:00.821376+00:00',\n", + " 'deleted': False,\n", + " 'labels': {'creativity': {'count': 2,\n", + " 'value': 0.125},\n", + " 'fails_task': {'count': 1, 'value': 0.0},\n", + " 'hate_speech': {'count': 1,\n", + " 'value': 0.0},\n", + " 'helpfulness': {'count': 2,\n", + " 'value': 1.0},\n", + " 'humor': {'count': 2, 'value': 0.375},\n", + " 'not_appropriate': {'count': 1,\n", + " 'value': 0.0},\n", + " 'pii': {'count': 1, 'value': 0.0},\n", + " 'quality': {'count': 4, 'value': 0.875},\n", + " 'sexual_content': {'count': 1,\n", + " 'value': 0.0},\n", + " 'spam': {'count': 4, 'value': 0.0},\n", + " 'toxicity': {'count': 2, 'value': 0.25},\n", + " 'violence': {'count': 2, 'value': 0.0}},\n", + " 'lang': 'en',\n", + " 'message_id': 'fdb9deb5-7b55-459d-8511-526368099861',\n", + " 'parent_id': '95e57fae-70ef-419e-a8c7-e6d3884573cf',\n", + " 'rank': 4,\n", + " 'replies': [],\n", + " 'review_count': 3,\n", + " 'review_result': True,\n", + " 'role': 'assistant',\n", + " 'synthetic': False,\n", + " 'text': 'If you are new to Linux and want to use '\n", + " 'it on the desktop then Ubuntu is '\n", + " 'generally the recommended option. Each '\n", + " 'distribution has a culture, priorities '\n", + " 'and use cases. Ubuntu prioritizes ease of '\n", + " 'use and compatibility rather than '\n", + " 'technical or political ends like extreme '\n", + " 'flexibility, minimizing resource usage or '\n", + " 'rejecting nonfree software. It is '\n", + " 'generally seen as the most \"noob '\n", + " 'friendly\" Linux distribution.',\n", + " 'user_id': '0a041bc2-b30a-49a6-8c5c-bca62f92d74a'}],\n", + " 'review_count': 3,\n", + " 'review_result': True,\n", + " 'role': 'prompter',\n", + " 'synthetic': False,\n", + " 'text': 'Which Linux version do you suggest I use?',\n", + " 'user_id': '875d9f7f-0f27-49de-af62-4102804e7beb'}],\n", + " 'review_count': 3,\n", + " 'review_result': True,\n", + " 'role': 'assistant',\n", + " 'synthetic': False,\n", + " 'text': 'Linux can be more stable and use less resources than Windows, '\n", + " 'depending on the distribution you choose. Its open-source nature '\n", + " \"means that it's harder for companies to sneak in unwanted features, \"\n", + " 'such as tracking or advertisements. Many Linux distributions offer '\n", + " 'a centralized package manager (\"app store\"), which makes it far '\n", + " 'less likely that a user will download an infected copy of some '\n", + " 'software.',\n", + " 'user_id': 'd84e29e8-1a3a-4093-b210-4f7a0d95bb49'},\n", + " {'created_date': '2023-01-29T04:57:39.168460+00:00',\n", + " 'deleted': False,\n", + " 'labels': {'creativity': {'count': 1, 'value': 0.25},\n", + " 'fails_task': {'count': 1, 'value': 0.0},\n", + " 'hate_speech': {'count': 1, 'value': 0.0},\n", + " 'helpfulness': {'count': 1, 'value': 1.0},\n", + " 'humor': {'count': 1, 'value': 0.0},\n", + " 'not_appropriate': {'count': 1, 'value': 0.0},\n", + " 'pii': {'count': 1, 'value': 0.0},\n", + " 'quality': {'count': 3, 'value': 0.75},\n", + " 'sexual_content': {'count': 1, 'value': 0.0},\n", + " 'spam': {'count': 3, 'value': 0.0},\n", + " 'toxicity': {'count': 1, 'value': 0.0},\n", + " 'violence': {'count': 1, 'value': 0.0}},\n", + " 'lang': 'en',\n", + " 'message_id': 'ed131ddf-d566-4d87-bfba-a31061076bdd',\n", + " 'parent_id': '85209e8a-99f6-44f6-9ce0-efc7b2008306',\n", + " 'rank': 1,\n", + " 'replies': [],\n", + " 'review_count': 3,\n", + " 'review_result': True,\n", + " 'role': 'assistant',\n", + " 'synthetic': False,\n", + " 'text': \"There are many advantages to using Linux instead of Windows. Here's \"\n", + " 'a few:\\n'\n", + " '1. Linux is free.\\n'\n", + " '2. Linux is open-source.\\n'\n", + " '3. Most programming tools and packages are designed for Linux.\\n'\n", + " '4. Fewer viruses are designed for Linux, because fewer people use '\n", + " 'it.\\n'\n", + " '5. Linux is much lighter-weight, meaning it runs faster and takes '\n", + " 'fewer resources.',\n", + " 'user_id': 'f3d2f618-51e4-460a-9153-24f9c87ae563'},\n", + " {'created_date': '2023-01-28T20:37:06.531853+00:00',\n", + " 'deleted': False,\n", + " 'emojis': {'+1': 1},\n", + " 'labels': {'creativity': {'count': 2, 'value': 0.0},\n", + " 'fails_task': {'count': 2, 'value': 0.0},\n", + " 'hate_speech': {'count': 2, 'value': 0.0},\n", + " 'helpfulness': {'count': 2, 'value': 0.625},\n", + " 'humor': {'count': 2, 'value': 0.125},\n", + " 'not_appropriate': {'count': 2, 'value': 0.0},\n", + " 'pii': {'count': 2, 'value': 0.0},\n", + " 'quality': {'count': 3, 'value': 0.6666666666666666},\n", + " 'sexual_content': {'count': 2, 'value': 0.0},\n", + " 'spam': {'count': 3, 'value': 0.0},\n", + " 'toxicity': {'count': 2, 'value': 0.125},\n", + " 'violence': {'count': 2, 'value': 0.0}},\n", + " 'lang': 'en',\n", + " 'message_id': 'aa61d3ac-8dd0-4ebd-96ab-6b82aaa5a742',\n", + " 'parent_id': '85209e8a-99f6-44f6-9ce0-efc7b2008306',\n", + " 'rank': 2,\n", + " 'replies': [{'created_date': '2023-01-28T21:17:14.494647+00:00',\n", + " 'deleted': False,\n", + " 'labels': {'creativity': {'count': 2, 'value': 0.375},\n", + " 'hate_speech': {'count': 2, 'value': 0.0},\n", + " 'helpfulness': {'count': 2, 'value': 0.75},\n", + " 'humor': {'count': 2, 'value': 0.0},\n", + " 'not_appropriate': {'count': 2, 'value': 0.0},\n", + " 'pii': {'count': 2, 'value': 0.0},\n", + " 'quality': {'count': 3, 'value': 0.9166666666666666},\n", + " 'sexual_content': {'count': 2, 'value': 0.0},\n", + " 'spam': {'count': 3, 'value': 0.0},\n", + " 'toxicity': {'count': 2, 'value': 0.0},\n", + " 'violence': {'count': 2, 'value': 0.0}},\n", + " 'lang': 'en',\n", + " 'message_id': '142bbc74-5ce4-495c-98f3-dd65875e8d88',\n", + " 'parent_id': 'aa61d3ac-8dd0-4ebd-96ab-6b82aaa5a742',\n", + " 'replies': [],\n", + " 'review_count': 3,\n", + " 'review_result': True,\n", + " 'role': 'prompter',\n", + " 'synthetic': False,\n", + " 'text': 'Please provide a list of 10 advantages of Linux over '\n", + " 'Windows.',\n", + " 'user_id': '4d77df6f-764a-44b0-ad36-aeb31aefb159'},\n", + " {'created_date': '2023-01-29T01:52:12.947953+00:00',\n", + " 'deleted': False,\n", + " 'emojis': {'+1': 1},\n", + " 'labels': {'creativity': {'count': 1, 'value': 0.0},\n", + " 'hate_speech': {'count': 1, 'value': 0.0},\n", + " 'helpfulness': {'count': 1, 'value': 1.0},\n", + " 'humor': {'count': 1, 'value': 0.0},\n", + " 'not_appropriate': {'count': 1, 'value': 0.0},\n", + " 'pii': {'count': 1, 'value': 0.0},\n", + " 'quality': {'count': 3, 'value': 0.5},\n", + " 'sexual_content': {'count': 1, 'value': 0.0},\n", + " 'spam': {'count': 3, 'value': 0.0},\n", + " 'toxicity': {'count': 1, 'value': 0.0},\n", + " 'violence': {'count': 1, 'value': 0.0}},\n", + " 'lang': 'en',\n", + " 'message_id': '14de440d-fc4f-489f-81b2-5abf5ad16fd2',\n", + " 'parent_id': 'aa61d3ac-8dd0-4ebd-96ab-6b82aaa5a742',\n", + " 'replies': [],\n", + " 'review_count': 3,\n", + " 'review_result': True,\n", + " 'role': 'prompter',\n", + " 'synthetic': False,\n", + " 'text': 'What distribution should I use if Iam a beginner?',\n", + " 'user_id': 'e54e8c27-8b48-4c2c-ab3a-d64bb30f17dc'},\n", + " {'created_date': '2023-01-29T02:13:22.449672+00:00',\n", + " 'deleted': False,\n", + " 'labels': {'creativity': {'count': 2, 'value': 0.0},\n", + " 'hate_speech': {'count': 2, 'value': 0.0},\n", + " 'helpfulness': {'count': 2, 'value': 0.75},\n", + " 'humor': {'count': 2, 'value': 0.0},\n", + " 'not_appropriate': {'count': 2, 'value': 0.0},\n", + " 'pii': {'count': 2, 'value': 0.0},\n", + " 'quality': {'count': 3, 'value': 0.9166666666666666},\n", + " 'sexual_content': {'count': 2, 'value': 0.0},\n", + " 'spam': {'count': 3, 'value': 0.0},\n", + " 'toxicity': {'count': 2, 'value': 0.125},\n", + " 'violence': {'count': 2, 'value': 0.0}},\n", + " 'lang': 'en',\n", + " 'message_id': '762e0e89-1bf4-4c6d-a9fe-f7860ff1f8aa',\n", + " 'parent_id': 'aa61d3ac-8dd0-4ebd-96ab-6b82aaa5a742',\n", + " 'replies': [],\n", + " 'review_count': 3,\n", + " 'review_result': True,\n", + " 'role': 'prompter',\n", + " 'synthetic': False,\n", + " 'text': 'What are the disadvantages of using Linux?',\n", + " 'user_id': 'f3d2f618-51e4-460a-9153-24f9c87ae563'},\n", + " {'created_date': '2023-01-28T21:26:11.733347+00:00',\n", + " 'deleted': False,\n", + " 'labels': {'creativity': {'count': 2, 'value': 0.625},\n", + " 'hate_speech': {'count': 2, 'value': 0.0},\n", + " 'helpfulness': {'count': 2, 'value': 0.875},\n", + " 'humor': {'count': 2, 'value': 0.375},\n", + " 'not_appropriate': {'count': 2, 'value': 0.0},\n", + " 'pii': {'count': 2, 'value': 0.0},\n", + " 'quality': {'count': 3, 'value': 0.8333333333333334},\n", + " 'sexual_content': {'count': 2, 'value': 0.0},\n", + " 'spam': {'count': 3, 'value': 0.0},\n", + " 'toxicity': {'count': 2, 'value': 0.25},\n", + " 'violence': {'count': 2, 'value': 0.0}},\n", + " 'lang': 'en',\n", + " 'message_id': 'c9f8e778-7c02-4df3-bb7e-e8f63e4f512f',\n", + " 'parent_id': 'aa61d3ac-8dd0-4ebd-96ab-6b82aaa5a742',\n", + " 'replies': [],\n", + " 'review_count': 3,\n", + " 'review_result': True,\n", + " 'role': 'prompter',\n", + " 'synthetic': False,\n", + " 'text': 'And what are the advantages of using Windows over '\n", + " 'Linux?',\n", + " 'user_id': 'f1ac4847-95fc-49dc-a20a-47e2c32c203b'},\n", + " {'created_date': '2023-01-28T21:23:57.221838+00:00',\n", + " 'deleted': False,\n", + " 'labels': {'creativity': {'count': 2, 'value': 0.125},\n", + " 'hate_speech': {'count': 2, 'value': 0.0},\n", + " 'helpfulness': {'count': 2, 'value': 1.0},\n", + " 'humor': {'count': 2, 'value': 0.0},\n", + " 'not_appropriate': {'count': 2, 'value': 0.0},\n", + " 'pii': {'count': 2, 'value': 0.0},\n", + " 'quality': {'count': 3, 'value': 0.8333333333333334},\n", + " 'sexual_content': {'count': 2, 'value': 0.0},\n", + " 'spam': {'count': 3, 'value': 0.0},\n", + " 'toxicity': {'count': 2, 'value': 0.0},\n", + " 'violence': {'count': 2, 'value': 0.0}},\n", + " 'lang': 'en',\n", + " 'message_id': 'cff71ef8-715d-4f1f-ae2f-e7bb7d7f678e',\n", + " 'parent_id': 'aa61d3ac-8dd0-4ebd-96ab-6b82aaa5a742',\n", + " 'replies': [{'created_date': '2023-01-29T06:56:17.954641+00:00',\n", + " 'deleted': False,\n", + " 'labels': {'creativity': {'count': 1, 'value': 0.0},\n", + " 'fails_task': {'count': 1, 'value': 0.0},\n", + " 'hate_speech': {'count': 1,\n", + " 'value': 0.0},\n", + " 'helpfulness': {'count': 1,\n", + " 'value': 1.0},\n", + " 'humor': {'count': 1, 'value': 0.0},\n", + " 'not_appropriate': {'count': 1,\n", + " 'value': 0.0},\n", + " 'pii': {'count': 1, 'value': 0.0},\n", + " 'quality': {'count': 3, 'value': 0.75},\n", + " 'sexual_content': {'count': 1,\n", + " 'value': 0.0},\n", + " 'spam': {'count': 3, 'value': 0.0},\n", + " 'toxicity': {'count': 1, 'value': 0.0},\n", + " 'violence': {'count': 1, 'value': 0.0}},\n", + " 'lang': 'en',\n", + " 'message_id': '4eb084e2-1220-4d90-bc33-cf33e3396302',\n", + " 'parent_id': 'cff71ef8-715d-4f1f-ae2f-e7bb7d7f678e',\n", + " 'rank': 0,\n", + " 'replies': [],\n", + " 'review_count': 3,\n", + " 'review_result': True,\n", + " 'role': 'assistant',\n", + " 'synthetic': False,\n", + " 'text': 'Some advantages to Linux are:\\n'\n", + " '1. Linux is open source. If you need a '\n", + " 'feature then you can suggest a change\\n'\n", + " '2. Linux is secure. Because it is open '\n", + " 'source and popular many security '\n", + " 'researchers are looking for '\n", + " 'vulnerabilities.\\n'\n", + " '3. Linux is good for a development '\n", + " 'machine. Many technologies can be '\n", + " 'installed on Linux using a package '\n", + " 'manager and just work. Plus most '\n", + " 'enterprise servers run Linux so you can '\n", + " 'learn how those systems work.\\n'\n", + " '\\n'\n", + " 'I hope that is a better answer.',\n", + " 'user_id': '2998ffeb-b867-49be-8f75-93ec86aa2f38'},\n", + " {'created_date': '2023-01-29T07:21:00.935160+00:00',\n", + " 'deleted': False,\n", + " 'emojis': {'red_flag': 1},\n", + " 'labels': {'creativity': {'count': 1, 'value': 0.0},\n", + " 'fails_task': {'count': 1, 'value': 0.0},\n", + " 'hate_speech': {'count': 1,\n", + " 'value': 0.0},\n", + " 'helpfulness': {'count': 1,\n", + " 'value': 0.25},\n", + " 'humor': {'count': 1, 'value': 0.0},\n", + " 'not_appropriate': {'count': 1,\n", + " 'value': 0.0},\n", + " 'pii': {'count': 1, 'value': 0.0},\n", + " 'quality': {'count': 3,\n", + " 'value': 0.16666666666666666},\n", + " 'sexual_content': {'count': 1,\n", + " 'value': 0.0},\n", + " 'spam': {'count': 3, 'value': 0.0},\n", + " 'toxicity': {'count': 1, 'value': 0.0},\n", + " 'violence': {'count': 1, 'value': 0.0}},\n", + " 'lang': 'en',\n", + " 'message_id': '2ca84237-cd30-424c-857e-3358113c2a56',\n", + " 'parent_id': 'cff71ef8-715d-4f1f-ae2f-e7bb7d7f678e',\n", + " 'rank': 1,\n", + " 'replies': [],\n", + " 'review_count': 3,\n", + " 'review_result': True,\n", + " 'role': 'assistant',\n", + " 'synthetic': False,\n", + " 'text': 'To break it down further I would say that '\n", + " 'being free and opensource means Linux '\n", + " 'allows it users more freedom to study, '\n", + " 'modify, and share changes they make to '\n", + " 'their systems with others.\\n'\n", + " 'This is even better with a large '\n", + " 'community of people that can help improve '\n", + " 'your system and share in each others '\n", + " 'improvements. Leading to vibrant share of '\n", + " 'free and powerful softwares. This is one '\n", + " 'reason that scientific uses really thrive '\n", + " 'under the open source model as well.',\n", + " 'user_id': 'eeb8a664-0413-4cba-a116-a313e8024626'},\n", + " {'created_date': '2023-01-29T07:05:03.864426+00:00',\n", + " 'deleted': False,\n", + " 'emojis': {'+1': 1},\n", + " 'labels': {'creativity': {'count': 2,\n", + " 'value': 0.375},\n", + " 'fails_task': {'count': 2, 'value': 0.0},\n", + " 'hate_speech': {'count': 2,\n", + " 'value': 0.0},\n", + " 'helpfulness': {'count': 2,\n", + " 'value': 0.75},\n", + " 'humor': {'count': 2, 'value': 0.25},\n", + " 'not_appropriate': {'count': 2,\n", + " 'value': 0.0},\n", + " 'pii': {'count': 2, 'value': 0.0},\n", + " 'quality': {'count': 3,\n", + " 'value': 0.5833333333333334},\n", + " 'sexual_content': {'count': 2,\n", + " 'value': 0.0},\n", + " 'spam': {'count': 3, 'value': 0.0},\n", + " 'toxicity': {'count': 2, 'value': 0.25},\n", + " 'violence': {'count': 2, 'value': 0.0}},\n", + " 'lang': 'en',\n", + " 'message_id': '41020122-cc48-49a6-bc83-0f89d44ee57f',\n", + " 'parent_id': 'cff71ef8-715d-4f1f-ae2f-e7bb7d7f678e',\n", + " 'rank': 2,\n", + " 'replies': [],\n", + " 'review_count': 3,\n", + " 'review_result': True,\n", + " 'role': 'assistant',\n", + " 'synthetic': False,\n", + " 'text': 'As a developer, Linux gives you more '\n", + " 'flexibility to create virtual '\n", + " 'environments, install libraries, and run '\n", + " 'scripts. As a user, Linux makes updates '\n", + " \"seamless compared to Window's painful \"\n", + " 'updates. In addition, Linux has far less '\n", + " '\"bloatware\" that slows down your computer '\n", + " 'on startup or takes up disk space.',\n", + " 'user_id': '779e9ae5-4bf0-411d-a1ec-610bcc8cea3b'}],\n", + " 'review_count': 3,\n", + " 'review_result': True,\n", + " 'role': 'prompter',\n", + " 'synthetic': False,\n", + " 'text': \"That explains what Limux is, but it doesn't explain \"\n", + " 'the advantages.',\n", + " 'user_id': '00bbfff8-0e6a-4e46-93cc-65785d78c8bc'}],\n", + " 'review_count': 3,\n", + " 'review_result': True,\n", + " 'role': 'assistant',\n", + " 'synthetic': False,\n", + " 'text': 'Linux is completely free and open source, and it also has a large '\n", + " 'community of developers that maintain it and actively release '\n", + " 'upgrades. Most scientific computer applications run on Linux and '\n", + " 'many servers.',\n", + " 'user_id': 'b4362d6d-facc-47da-8b51-3331bb06a170'}]\n" + ] + } + ], + "source": [ + "# create a message tree from an example message\n", + "\n", + "# a good example message id\n", + "message_tree_id = \"85209e8a-99f6-44f6-9ce0-efc7b2008306\"\n", + "\n", + "# random message_tree_id where replies_count > 0\n", + "# message_tree_id = df[df['replies_count'] > 0]['message_tree_id'].sample(1).values[0]\n", + "\n", + "df_message = df_oasst1dot1[df_oasst1dot1[\"message_tree_id\"] == message_tree_id]\n", + "message_reply_data = df_message[\"replies\"].values[0]\n", + "\n", + "pp.pprint(message_reply_data)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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54571604736620
is_bad_message_idFalseFalseFalse
in_oasst1TrueTrueTrue
message_tree_idc4c5d168-5b14-43c9-a0f8-62c3988a289b1599a0d7-dcb0-4ee1-8d42-ec169442a65f84e78fe6-0af6-42af-8826-db42ade5ced9
tree_stateprompt_lottery_waitingprompt_lottery_waitingprompt_lottery_waiting
message_idc4c5d168-5b14-43c9-a0f8-62c3988a289b1599a0d7-dcb0-4ee1-8d42-ec169442a65f84e78fe6-0af6-42af-8826-db42ade5ced9
user_idd2e58e81-4488-4330-8918-188dfbb1790f5e408f6b-e739-4b3a-8a56-e18a6a9ccc462c687aff-39d6-4954-8ce2-f572ead41861
created_date2023-02-05T16:44:29.109453+00:002023-03-17T18:46:25.417078+00:002023-02-18T03:57:47.018942+00:00
textWhat are the best knots if I only have a very ...Qual é a raiz quadrada de 3?Which pair of the following cities is closest ...
roleprompterprompterprompter
langenpt-BRen
review_count333
review_resultTrueTrueTrue
deletedFalseFalseFalse
syntheticFalseFalseFalse
emojis_+13.0NaNNaN
emojis__skip_replyNaNNaNNaN
emojis__skip_rankingNaNNaNNaN
replies[][][]
labels_spam_value0.00.00.0
labels_spam_count3.03.03.0
labels_lang_mismatch_value0.00.00.0
labels_lang_mismatch_count3.03.03.0
labels_pii_value0.00.00.0
labels_pii_count3.03.03.0
labels_not_appropriate_value0.00.00.0
labels_not_appropriate_count3.03.03.0
labels_hate_speech_value0.00.00.0
labels_hate_speech_count3.03.03.0
labels_sexual_content_value0.00.00.0
labels_sexual_content_count3.03.03.0
labels_quality_value0.8333330.50.833333
labels_quality_count3.03.03.0
labels_toxicity_value0.0833330.00.25
labels_toxicity_count3.03.03.0
labels_humor_value0.0833330.00.25
labels_humor_count3.03.03.0
labels_creativity_value0.3333330.1666670.666667
labels_creativity_count3.03.03.0
labels_violence_value0.00.00.083333
labels_violence_count3.03.03.0
emojis__skip_labelingNaNNaNNaN
emojis_-1NaNNaNNaN
labels_helpfulness_valueNaNNaNNaN
labels_helpfulness_countNaNNaNNaN
emojis_red_flagNaNNaNNaN
labels_fails_task_valueNaNNaNNaN
labels_fails_task_countNaNNaNNaN
labels_moral_judgement_valueNaNNaNNaN
labels_moral_judgement_countNaNNaNNaN
labels_political_content_valueNaNNaNNaN
labels_political_content_countNaNNaNNaN
\n", + "
" + ], + "text/plain": [ + " 54571 6047 36620\n", + "is_bad_message_id False False False\n", + "in_oasst1 True True True\n", + "message_tree_id c4c5d168-5b14-43c9-a0f8-62c3988a289b 1599a0d7-dcb0-4ee1-8d42-ec169442a65f 84e78fe6-0af6-42af-8826-db42ade5ced9\n", + "tree_state prompt_lottery_waiting prompt_lottery_waiting prompt_lottery_waiting\n", + "message_id c4c5d168-5b14-43c9-a0f8-62c3988a289b 1599a0d7-dcb0-4ee1-8d42-ec169442a65f 84e78fe6-0af6-42af-8826-db42ade5ced9\n", + "user_id d2e58e81-4488-4330-8918-188dfbb1790f 5e408f6b-e739-4b3a-8a56-e18a6a9ccc46 2c687aff-39d6-4954-8ce2-f572ead41861\n", + "created_date 2023-02-05T16:44:29.109453+00:00 2023-03-17T18:46:25.417078+00:00 2023-02-18T03:57:47.018942+00:00\n", + "text What are the best knots if I only have a very ... Qual é a raiz quadrada de 3? Which pair of the following cities is closest ...\n", + "role prompter prompter prompter\n", + "lang en pt-BR en\n", + "review_count 3 3 3\n", + "review_result True True True\n", + "deleted False False False\n", + "synthetic False False False\n", + "emojis_+1 3.0 NaN NaN\n", + "emojis__skip_reply NaN NaN NaN\n", + "emojis__skip_ranking NaN NaN NaN\n", + "replies [] [] []\n", + "labels_spam_value 0.0 0.0 0.0\n", + "labels_spam_count 3.0 3.0 3.0\n", + "labels_lang_mismatch_value 0.0 0.0 0.0\n", + "labels_lang_mismatch_count 3.0 3.0 3.0\n", + "labels_pii_value 0.0 0.0 0.0\n", + "labels_pii_count 3.0 3.0 3.0\n", + "labels_not_appropriate_value 0.0 0.0 0.0\n", + "labels_not_appropriate_count 3.0 3.0 3.0\n", + "labels_hate_speech_value 0.0 0.0 0.0\n", + "labels_hate_speech_count 3.0 3.0 3.0\n", + "labels_sexual_content_value 0.0 0.0 0.0\n", + "labels_sexual_content_count 3.0 3.0 3.0\n", + "labels_quality_value 0.833333 0.5 0.833333\n", + "labels_quality_count 3.0 3.0 3.0\n", + "labels_toxicity_value 0.083333 0.0 0.25\n", + "labels_toxicity_count 3.0 3.0 3.0\n", + "labels_humor_value 0.083333 0.0 0.25\n", + "labels_humor_count 3.0 3.0 3.0\n", + "labels_creativity_value 0.333333 0.166667 0.666667\n", + "labels_creativity_count 3.0 3.0 3.0\n", + "labels_violence_value 0.0 0.0 0.083333\n", + "labels_violence_count 3.0 3.0 3.0\n", + "emojis__skip_labeling NaN NaN NaN\n", + "emojis_-1 NaN NaN NaN\n", + "labels_helpfulness_value NaN NaN NaN\n", + "labels_helpfulness_count NaN NaN NaN\n", + "emojis_red_flag NaN NaN NaN\n", + "labels_fails_task_value NaN NaN NaN\n", + "labels_fails_task_count NaN NaN NaN\n", + "labels_moral_judgement_value NaN NaN NaN\n", + "labels_moral_judgement_count NaN NaN NaN\n", + "labels_political_content_value NaN NaN NaN\n", + "labels_political_content_count NaN NaN NaN" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# lets eyeball some random rows\n", + "df_oasst1dot1.sample(3).transpose()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "# some general wrangling\n", + "\n", + "# convert dates to datetime\n", + "df_oasst1dot1[\"created_date\"] = pd.to_datetime(df_oasst1dot1[\"created_date\"])\n", + "\n", + "# get reply count col\n", + "df_oasst1dot1[\"replies_count\"] = df_oasst1dot1[\"replies\"].apply(lambda x: len(x))\n", + "\n", + "# only keep messages with replies\n", + "# df_oasst1dot1 = df_oasst1dot1[df_oasst1dot1[\"replies_count\"] > 0]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tree_state\n", + "prompt_lottery_waiting 42010\n", + "ready_for_export 13614\n", + "halted_by_moderator 2838\n", + "growing 2651\n", + "initial_prompt_review 2029\n", + "aborted_low_grade 1586\n", + "ranking 18\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# tree_state counts when in_oasst1 is true\n", + "df_oasst1dot1[df_oasst1dot1[\"in_oasst1\"] == True][\"tree_state\"].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tree_state\n", + "prompt_lottery_waiting 2560\n", + "initial_prompt_review 2290\n", + "growing 452\n", + "halted_by_moderator 255\n", + "ready_for_export 240\n", + "aborted_low_grade 128\n", + "ranking 2\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# tree_state counts when in_oasst1 is false\n", + "df_oasst1dot1[df_oasst1dot1[\"in_oasst1\"] == False][\"tree_state\"].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tree_state\n", + "aborted_low_grade 0.925321\n", + "growing 0.854335\n", + "halted_by_moderator 0.917556\n", + "initial_prompt_review 0.469785\n", + "prompt_lottery_waiting 0.942562\n", + "ranking 0.900000\n", + "ready_for_export 0.982676\n", + "Name: in_oasst1, dtype: float64" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# get % of messages in oasst1 by tree_state\n", + "df_oasst1dot1.groupby(\"tree_state\")[\"in_oasst1\"].mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "in_oasst1 is_bad_message_id\n", + "False False 5896\n", + " True 31\n", + "True False 64741\n", + " True 5\n", + "Name: message_tree_id, dtype: int64" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_oasst1dot1.groupby([\"in_oasst1\", \"is_bad_message_id\"])[\"message_tree_id\"].count()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Count the frequency of each unique value in the 'tree_state' column\n", + "tree_state_counts = df_oasst1dot1[\"tree_state\"].value_counts()\n", + "\n", + "# Plotting the distribution of 'tree_state'\n", + "plt.figure(figsize=(10, 6))\n", + "tree_state_counts.plot(kind=\"bar\")\n", + "plt.title(\"Distribution of Tree State\")\n", + "plt.xlabel(\"Tree State\")\n", + "plt.ylabel(\"Frequency\")\n", + "plt.xticks(rotation=45, ha=\"right\") # Rotate the x labels for better readability\n", + "plt.tight_layout() # Adjust layout to fit the labels\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Resample the data by week and count the number of messages\n", + "freq = \"W\"\n", + "message_count_freq = df_oasst1dot1.set_index(\"created_date\").resample(freq).size()\n", + "\n", + "# Resample the data by week and sum the 'in_oasst1' column to count True values\n", + "in_oasst1_true_count_freq = df_oasst1dot1.set_index(\"created_date\").resample(freq)[\"in_oasst1\"].sum()\n", + "\n", + "# Resample the data by week and sum the negation of 'in_oasst1' column to count False values\n", + "in_oasst1_false_count_freq = (\n", + " df_oasst1dot1.set_index(\"created_date\").resample(freq)[\"in_oasst1\"].apply(lambda x: (~x).sum())\n", + ")\n", + "\n", + "# Plotting the count of messages over time\n", + "plt.figure(figsize=(14, 7))\n", + "\n", + "# Plot for all messages\n", + "plt.plot(message_count_freq.index, message_count_freq.values, marker=\"o\", label=\"All Messages\")\n", + "\n", + "# Plot for messages where in_oasst1 is True\n", + "plt.plot(in_oasst1_true_count_freq.index, in_oasst1_true_count_freq.values, marker=\"x\", label=\"in_oasst1 True Messages\")\n", + "\n", + "# Plot for messages where in_oasst1 is False\n", + "plt.plot(\n", + " in_oasst1_false_count_freq.index, in_oasst1_false_count_freq.values, marker=\"s\", label=\"in_oasst1 False Messages\"\n", + ")\n", + "\n", + "plt.title(f\"Count of Messages Over Time (freq={freq})\")\n", + "plt.xlabel(\"Date\")\n", + "plt.ylabel(\"Number of Messages\")\n", + "plt.grid(True)\n", + "plt.legend() # Add a legend to distinguish the lines\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Count the frequency of each unique value in the 'prompt.role' column\n", + "prompt_role_counts = df_oasst1dot1[\"role\"].value_counts()\n", + "\n", + "# Plotting the distribution of 'prompt.role'\n", + "plt.figure(figsize=(8, 5))\n", + "prompt_role_counts.plot(kind=\"bar\")\n", + "plt.title(\"Distribution of Prompt Role\")\n", + "plt.xlabel(\"Prompt Role\")\n", + "plt.ylabel(\"Frequency\")\n", + "plt.xticks(rotation=0) # No need to rotate as there might be only a few unique values\n", + "plt.tight_layout() # Adjust layout to fit the labels\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Count the frequency of each unique value in the 'prompt.user_id' column\n", + "user_id_counts = df_oasst1dot1[\"user_id\"].value_counts()\n", + "\n", + "# Plotting the distribution of number of prompts per user ID using a histogram\n", + "# We choose bins carefully as there could be many unique users\n", + "plt.figure(figsize=(12, 8))\n", + "plt.hist(user_id_counts, bins=50, alpha=0.75)\n", + "plt.title(\"Distribution of Number of Prompts per User ID\")\n", + "plt.xlabel(\"Number of Prompts\")\n", + "plt.ylabel(\"Frequency of User IDs\")\n", + "plt.grid(True)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Count the frequency of each unique value in the 'prompt.lang' column\n", + "language_counts = df_oasst1dot1[\"lang\"].value_counts()\n", + "\n", + "# Plotting the distribution of 'prompt.lang'\n", + "plt.figure(figsize=(12, 8))\n", + "language_counts.plot(kind=\"bar\")\n", + "plt.title(\"Distribution of Language\")\n", + "plt.xlabel(\"Language\")\n", + "plt.ylabel(\"Frequency\")\n", + "plt.xticks(rotation=90) # Rotate the x labels for better readability\n", + "plt.tight_layout() # Adjust layout to fit the labels\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plotting the distribution of the reply counts per prompt using the new calculated column\n", + "plt.figure(figsize=(10, 6))\n", + "df_oasst1dot1[\"replies_count\"].plot(kind=\"hist\", bins=30, title=\"Distribution of Reply Counts per Prompt\")\n", + "plt.xlabel(\"Number of Replies\")\n", + "plt.ylabel(\"Frequency\")\n", + "plt.grid(True)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plotting the distribution of the reply counts per prompt using the new calculated column\n", + "plt.figure(figsize=(10, 6))\n", + "df_oasst1dot1.query(\"replies_count > 0\")[\"replies_count\"].plot(\n", + " kind=\"hist\", bins=30, title=\"Distribution of Reply Counts (>0) per Prompt\"\n", + ")\n", + "plt.xlabel(\"Number of Replies\")\n", + "plt.ylabel(\"Frequency\")\n", + "plt.grid(True)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Identify columns that represent label counts by their naming pattern\n", + "label_count_columns = [col for col in df_oasst1dot1.columns if \"count\" in col and \"label\" in col]\n", + "\n", + "# Now we'll plot the distributions for these label count columns\n", + "fig, axes = plt.subplots(nrows=len(label_count_columns), ncols=1, figsize=(10, 5 * len(label_count_columns)))\n", + "\n", + "for i, col in enumerate(label_count_columns):\n", + " # We'll dropna to avoid errors while plotting\n", + " df_oasst1dot1[col].dropna().plot(kind=\"hist\", ax=axes[i], bins=20, title=col)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "113\n" + ] + } + ], + "source": [ + "bad_message_count = 0\n", + "for m in oasst1dot1_data:\n", + " message_tree_id = m[\"message_tree_id\"]\n", + " prompt_message_id = m[\"prompt\"][\"message_id\"]\n", + " for r in m[\"prompt\"][\"replies\"]:\n", + " reply_message_id = r[\"message_id\"]\n", + " if reply_message_id in bad_message_id_list:\n", + " bad_message_count += 1\n", + "print(bad_message_count)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}