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{
"results": {
"sapiente-occaecati-7306_logiqa2_base": {
"alias": "sapiente-occaecati-7306_logiqa2_base",
"acc,none": 0.4026717557251908,
"acc_stderr,none": 0.01237354143341026
},
"sapiente-occaecati-7306_logiqa_base": {
"alias": "sapiente-occaecati-7306_logiqa_base",
"acc,none": 0.3146964856230032,
"acc_stderr,none": 0.018575795328740326
},
"sapiente-occaecati-7306_lsat-ar_base": {
"alias": "sapiente-occaecati-7306_lsat-ar_base",
"acc,none": 0.26521739130434785,
"acc_stderr,none": 0.02917176407847258
},
"sapiente-occaecati-7306_lsat-lr_base": {
"alias": "sapiente-occaecati-7306_lsat-lr_base",
"acc,none": 0.3627450980392157,
"acc_stderr,none": 0.021310737393780425
},
"sapiente-occaecati-7306_lsat-rc_base": {
"alias": "sapiente-occaecati-7306_lsat-rc_base",
"acc,none": 0.44609665427509293,
"acc_stderr,none": 0.03036435639450413
}
},
"group_subtasks": {
"sapiente-occaecati-7306_logiqa2_base": [],
"sapiente-occaecati-7306_logiqa_base": [],
"sapiente-occaecati-7306_lsat-ar_base": [],
"sapiente-occaecati-7306_lsat-lr_base": [],
"sapiente-occaecati-7306_lsat-rc_base": []
},
"configs": {
"sapiente-occaecati-7306_logiqa2_base": {
"task": "sapiente-occaecati-7306_logiqa2_base",
"tag": "logikon-bench",
"group": "logikon-bench",
"dataset_path": "cot-leaderboard/cot-eval-traces-2.0",
"dataset_kwargs": {
"data_files": {
"test": "data/Qwen/Qwen2-7B-Instruct/sapiente-occaecati-7306-logiqa2.parquet"
}
},
"test_split": "test",
"doc_to_text": "def doc_to_text(doc) -> str:\n \"\"\"\n Answer the following question about the given passage.\n \n Passage: <passage>\n \n Question: <question>\n A. <choice1>\n B. <choice2>\n C. <choice3>\n D. <choice4>\n [E. <choice5>]\n \n Answer:\n \"\"\"\n k = len(doc[\"options\"])\n choices = [\"a\", \"b\", \"c\", \"d\", \"e\"][:k]\n prompt = \"Answer the following question about the given passage.\\n\\n\"\n prompt = \"Passage: \" + doc[\"passage\"] + \"\\n\\n\"\n prompt += \"Question: \" + doc[\"question\"] + \"\\n\"\n for choice, option in zip(choices, doc[\"options\"]):\n prompt += f\"{choice.upper()}. {option}\\n\"\n prompt += \"\\n\"\n prompt += \"Answer:\"\n return prompt\n",
"doc_to_target": "{{answer}}",
"doc_to_choice": "{{options}}",
"description": "",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"sapiente-occaecati-7306_logiqa_base": {
"task": "sapiente-occaecati-7306_logiqa_base",
"tag": "logikon-bench",
"group": "logikon-bench",
"dataset_path": "cot-leaderboard/cot-eval-traces-2.0",
"dataset_kwargs": {
"data_files": {
"test": "data/Qwen/Qwen2-7B-Instruct/sapiente-occaecati-7306-logiqa.parquet"
}
},
"test_split": "test",
"doc_to_text": "def doc_to_text(doc) -> str:\n \"\"\"\n Answer the following question about the given passage.\n \n Passage: <passage>\n \n Question: <question>\n A. <choice1>\n B. <choice2>\n C. <choice3>\n D. <choice4>\n [E. <choice5>]\n \n Answer:\n \"\"\"\n k = len(doc[\"options\"])\n choices = [\"a\", \"b\", \"c\", \"d\", \"e\"][:k]\n prompt = \"Answer the following question about the given passage.\\n\\n\"\n prompt = \"Passage: \" + doc[\"passage\"] + \"\\n\\n\"\n prompt += \"Question: \" + doc[\"question\"] + \"\\n\"\n for choice, option in zip(choices, doc[\"options\"]):\n prompt += f\"{choice.upper()}. {option}\\n\"\n prompt += \"\\n\"\n prompt += \"Answer:\"\n return prompt\n",
"doc_to_target": "{{answer}}",
"doc_to_choice": "{{options}}",
"description": "",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"sapiente-occaecati-7306_lsat-ar_base": {
"task": "sapiente-occaecati-7306_lsat-ar_base",
"tag": "logikon-bench",
"group": "logikon-bench",
"dataset_path": "cot-leaderboard/cot-eval-traces-2.0",
"dataset_kwargs": {
"data_files": {
"test": "data/Qwen/Qwen2-7B-Instruct/sapiente-occaecati-7306-lsat-ar.parquet"
}
},
"test_split": "test",
"doc_to_text": "def doc_to_text(doc) -> str:\n \"\"\"\n Answer the following question about the given passage.\n \n Passage: <passage>\n \n Question: <question>\n A. <choice1>\n B. <choice2>\n C. <choice3>\n D. <choice4>\n [E. <choice5>]\n \n Answer:\n \"\"\"\n k = len(doc[\"options\"])\n choices = [\"a\", \"b\", \"c\", \"d\", \"e\"][:k]\n prompt = \"Answer the following question about the given passage.\\n\\n\"\n prompt = \"Passage: \" + doc[\"passage\"] + \"\\n\\n\"\n prompt += \"Question: \" + doc[\"question\"] + \"\\n\"\n for choice, option in zip(choices, doc[\"options\"]):\n prompt += f\"{choice.upper()}. {option}\\n\"\n prompt += \"\\n\"\n prompt += \"Answer:\"\n return prompt\n",
"doc_to_target": "{{answer}}",
"doc_to_choice": "{{options}}",
"description": "",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"sapiente-occaecati-7306_lsat-lr_base": {
"task": "sapiente-occaecati-7306_lsat-lr_base",
"tag": "logikon-bench",
"group": "logikon-bench",
"dataset_path": "cot-leaderboard/cot-eval-traces-2.0",
"dataset_kwargs": {
"data_files": {
"test": "data/Qwen/Qwen2-7B-Instruct/sapiente-occaecati-7306-lsat-lr.parquet"
}
},
"test_split": "test",
"doc_to_text": "def doc_to_text(doc) -> str:\n \"\"\"\n Answer the following question about the given passage.\n \n Passage: <passage>\n \n Question: <question>\n A. <choice1>\n B. <choice2>\n C. <choice3>\n D. <choice4>\n [E. <choice5>]\n \n Answer:\n \"\"\"\n k = len(doc[\"options\"])\n choices = [\"a\", \"b\", \"c\", \"d\", \"e\"][:k]\n prompt = \"Answer the following question about the given passage.\\n\\n\"\n prompt = \"Passage: \" + doc[\"passage\"] + \"\\n\\n\"\n prompt += \"Question: \" + doc[\"question\"] + \"\\n\"\n for choice, option in zip(choices, doc[\"options\"]):\n prompt += f\"{choice.upper()}. {option}\\n\"\n prompt += \"\\n\"\n prompt += \"Answer:\"\n return prompt\n",
"doc_to_target": "{{answer}}",
"doc_to_choice": "{{options}}",
"description": "",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"sapiente-occaecati-7306_lsat-rc_base": {
"task": "sapiente-occaecati-7306_lsat-rc_base",
"tag": "logikon-bench",
"group": "logikon-bench",
"dataset_path": "cot-leaderboard/cot-eval-traces-2.0",
"dataset_kwargs": {
"data_files": {
"test": "data/Qwen/Qwen2-7B-Instruct/sapiente-occaecati-7306-lsat-rc.parquet"
}
},
"test_split": "test",
"doc_to_text": "def doc_to_text(doc) -> str:\n \"\"\"\n Answer the following question about the given passage.\n \n Passage: <passage>\n \n Question: <question>\n A. <choice1>\n B. <choice2>\n C. <choice3>\n D. <choice4>\n [E. <choice5>]\n \n Answer:\n \"\"\"\n k = len(doc[\"options\"])\n choices = [\"a\", \"b\", \"c\", \"d\", \"e\"][:k]\n prompt = \"Answer the following question about the given passage.\\n\\n\"\n prompt = \"Passage: \" + doc[\"passage\"] + \"\\n\\n\"\n prompt += \"Question: \" + doc[\"question\"] + \"\\n\"\n for choice, option in zip(choices, doc[\"options\"]):\n prompt += f\"{choice.upper()}. {option}\\n\"\n prompt += \"\\n\"\n prompt += \"Answer:\"\n return prompt\n",
"doc_to_target": "{{answer}}",
"doc_to_choice": "{{options}}",
"description": "",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
}
},
"versions": {
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"sapiente-occaecati-7306_logiqa_base": 0.0,
"sapiente-occaecati-7306_lsat-ar_base": 0.0,
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"n-shot": {
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"sapiente-occaecati-7306_lsat-ar_base": 0,
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"sapiente-occaecati-7306_lsat-rc_base": 0
},
"higher_is_better": {
"sapiente-occaecati-7306_logiqa2_base": {
"acc": true
},
"sapiente-occaecati-7306_logiqa_base": {
"acc": true
},
"sapiente-occaecati-7306_lsat-ar_base": {
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},
"sapiente-occaecati-7306_lsat-lr_base": {
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},
"sapiente-occaecati-7306_lsat-rc_base": {
"acc": true
}
},
"n-samples": {
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"effective": 269
},
"sapiente-occaecati-7306_lsat-lr_base": {
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"effective": 510
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},
"sapiente-occaecati-7306_logiqa_base": {
"original": 626,
"effective": 626
},
"sapiente-occaecati-7306_logiqa2_base": {
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"effective": 1572
}
},
"config": {
"model": "local-completions",
"model_args": "base_url=http://localhost:8000/v1/completions,num_concurrent=1,max_retries=3,tokenized_requests=False,model=Qwen/Qwen2-7B-Instruct",
"batch_size": "1",
"batch_sizes": [],
"device": null,
"use_cache": null,
"limit": null,
"bootstrap_iters": 100000,
"gen_kwargs": null,
"random_seed": 0,
"numpy_seed": 1234,
"torch_seed": 1234,
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},
"git_hash": "fc673dc",
"date": 1727292007.6666315,
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"model_name_sanitized": "Qwen__Qwen2-7B-Instruct",
"system_instruction": null,
"system_instruction_sha": null,
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"chat_template": null,
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} |