| { |
| "results": { |
| "natus-ut-9938_logiqa2_base": { |
| "acc,none": 0.3008905852417303, |
| "acc_stderr,none": 0.01157147662415153, |
| "alias": "natus-ut-9938_logiqa2_base" |
| }, |
| "natus-ut-9938_logiqa_base": { |
| "acc,none": 0.2715654952076677, |
| "acc_stderr,none": 0.017790679673144884, |
| "alias": "natus-ut-9938_logiqa_base" |
| }, |
| "natus-ut-9938_lsat-ar_base": { |
| "acc,none": 0.20434782608695654, |
| "acc_stderr,none": 0.026645808150011344, |
| "alias": "natus-ut-9938_lsat-ar_base" |
| }, |
| "natus-ut-9938_lsat-lr_base": { |
| "acc,none": 0.25882352941176473, |
| "acc_stderr,none": 0.0194134981313184, |
| "alias": "natus-ut-9938_lsat-lr_base" |
| }, |
| "natus-ut-9938_lsat-rc_base": { |
| "acc,none": 0.24907063197026022, |
| "acc_stderr,none": 0.02641760298057972, |
| "alias": "natus-ut-9938_lsat-rc_base" |
| } |
| }, |
| "configs": { |
| "natus-ut-9938_logiqa2_base": { |
| "task": "natus-ut-9938_logiqa2_base", |
| "group": "logikon-bench", |
| "dataset_path": "cot-leaderboard/cot-eval-traces", |
| "dataset_kwargs": { |
| "data_files": { |
| "test": "natus-ut-9938-logiqa2/test-00000-of-00001.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 |
| } |
| }, |
| "natus-ut-9938_logiqa_base": { |
| "task": "natus-ut-9938_logiqa_base", |
| "group": "logikon-bench", |
| "dataset_path": "cot-leaderboard/cot-eval-traces", |
| "dataset_kwargs": { |
| "data_files": { |
| "test": "natus-ut-9938-logiqa/test-00000-of-00001.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 |
| } |
| }, |
| "natus-ut-9938_lsat-ar_base": { |
| "task": "natus-ut-9938_lsat-ar_base", |
| "group": "logikon-bench", |
| "dataset_path": "cot-leaderboard/cot-eval-traces", |
| "dataset_kwargs": { |
| "data_files": { |
| "test": "natus-ut-9938-lsat-ar/test-00000-of-00001.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 |
| } |
| }, |
| "natus-ut-9938_lsat-lr_base": { |
| "task": "natus-ut-9938_lsat-lr_base", |
| "group": "logikon-bench", |
| "dataset_path": "cot-leaderboard/cot-eval-traces", |
| "dataset_kwargs": { |
| "data_files": { |
| "test": "natus-ut-9938-lsat-lr/test-00000-of-00001.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 |
| } |
| }, |
| "natus-ut-9938_lsat-rc_base": { |
| "task": "natus-ut-9938_lsat-rc_base", |
| "group": "logikon-bench", |
| "dataset_path": "cot-leaderboard/cot-eval-traces", |
| "dataset_kwargs": { |
| "data_files": { |
| "test": "natus-ut-9938-lsat-rc/test-00000-of-00001.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": { |
| "natus-ut-9938_logiqa2_base": 0.0, |
| "natus-ut-9938_logiqa_base": 0.0, |
| "natus-ut-9938_lsat-ar_base": 0.0, |
| "natus-ut-9938_lsat-lr_base": 0.0, |
| "natus-ut-9938_lsat-rc_base": 0.0 |
| }, |
| "n-shot": { |
| "natus-ut-9938_logiqa2_base": 0, |
| "natus-ut-9938_logiqa_base": 0, |
| "natus-ut-9938_lsat-ar_base": 0, |
| "natus-ut-9938_lsat-lr_base": 0, |
| "natus-ut-9938_lsat-rc_base": 0 |
| }, |
| "config": { |
| "model": "vllm", |
| "model_args": "pretrained=NousResearch/Nous-Hermes-llama-2-7b,revision=main,dtype=bfloat16,tensor_parallel_size=1,gpu_memory_utilization=0.8,trust_remote_code=true,max_length=2048", |
| "batch_size": "auto", |
| "batch_sizes": [], |
| "device": null, |
| "use_cache": null, |
| "limit": null, |
| "bootstrap_iters": 100000, |
| "gen_kwargs": null |
| }, |
| "git_hash": "a550a44" |
| } |
