Upload results for model allenai/tulu-2-dpo-7b (#162)
Browse files- Upload results for model allenai/tulu-2-dpo-7b (b7c2172c3f9b956036f692561be172d13daa854f)
data/allenai/tulu-2-dpo-7b/base/24-03-26-10:11:02.json
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| 1 |
+
{
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| 2 |
+
"results": {
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| 3 |
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"placeat-nesciunt-1148_logiqa2_base": {
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| 4 |
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"acc,none": 0.32506361323155214,
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| 5 |
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"acc_stderr,none": 0.011817551614092979,
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| 6 |
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"alias": "placeat-nesciunt-1148_logiqa2_base"
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},
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"placeat-nesciunt-1148_logiqa_base": {
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| 9 |
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"acc,none": 0.2939297124600639,
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"acc_stderr,none": 0.018222405399648353,
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| 11 |
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"alias": "placeat-nesciunt-1148_logiqa_base"
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| 12 |
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},
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| 13 |
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"placeat-nesciunt-1148_lsat-ar_base": {
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| 14 |
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"acc,none": 0.2217391304347826,
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| 15 |
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"acc_stderr,none": 0.027451496604058913,
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| 16 |
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"alias": "placeat-nesciunt-1148_lsat-ar_base"
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| 17 |
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},
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| 18 |
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"placeat-nesciunt-1148_lsat-lr_base": {
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| 19 |
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"acc,none": 0.26862745098039215,
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| 20 |
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"acc_stderr,none": 0.01964651988859971,
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| 21 |
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"alias": "placeat-nesciunt-1148_lsat-lr_base"
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| 22 |
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},
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| 23 |
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"placeat-nesciunt-1148_lsat-rc_base": {
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| 24 |
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"acc,none": 0.30855018587360594,
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| 25 |
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"acc_stderr,none": 0.028214726272339074,
|
| 26 |
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"alias": "placeat-nesciunt-1148_lsat-rc_base"
|
| 27 |
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}
|
| 28 |
+
},
|
| 29 |
+
"configs": {
|
| 30 |
+
"placeat-nesciunt-1148_logiqa2_base": {
|
| 31 |
+
"task": "placeat-nesciunt-1148_logiqa2_base",
|
| 32 |
+
"group": "logikon-bench",
|
| 33 |
+
"dataset_path": "cot-leaderboard/cot-eval-traces",
|
| 34 |
+
"dataset_kwargs": {
|
| 35 |
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"data_files": {
|
| 36 |
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"test": "placeat-nesciunt-1148-logiqa2/test-00000-of-00001.parquet"
|
| 37 |
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}
|
| 38 |
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},
|
| 39 |
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"test_split": "test",
|
| 40 |
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"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",
|
| 41 |
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"doc_to_target": "{{answer}}",
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| 42 |
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"doc_to_choice": "{{options}}",
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| 43 |
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"description": "",
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| 44 |
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"target_delimiter": " ",
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| 45 |
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"fewshot_delimiter": "\n\n",
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| 46 |
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"num_fewshot": 0,
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| 47 |
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"metric_list": [
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| 48 |
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{
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| 49 |
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"metric": "acc",
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| 50 |
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"aggregation": "mean",
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| 51 |
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"higher_is_better": true
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| 52 |
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}
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| 53 |
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],
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"output_type": "multiple_choice",
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| 55 |
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"repeats": 1,
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| 56 |
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"should_decontaminate": false,
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| 57 |
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"metadata": {
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| 58 |
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"version": 0.0
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| 59 |
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}
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| 60 |
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},
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| 61 |
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"placeat-nesciunt-1148_logiqa_base": {
|
| 62 |
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"task": "placeat-nesciunt-1148_logiqa_base",
|
| 63 |
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"group": "logikon-bench",
|
| 64 |
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"dataset_path": "cot-leaderboard/cot-eval-traces",
|
| 65 |
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"dataset_kwargs": {
|
| 66 |
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"data_files": {
|
| 67 |
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"test": "placeat-nesciunt-1148-logiqa/test-00000-of-00001.parquet"
|
| 68 |
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}
|
| 69 |
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},
|
| 70 |
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"test_split": "test",
|
| 71 |
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"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",
|
| 72 |
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"doc_to_target": "{{answer}}",
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| 73 |
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"doc_to_choice": "{{options}}",
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| 74 |
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"description": "",
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| 75 |
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"target_delimiter": " ",
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| 76 |
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"fewshot_delimiter": "\n\n",
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| 77 |
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"num_fewshot": 0,
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| 78 |
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"metric_list": [
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| 79 |
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{
|
| 80 |
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"metric": "acc",
|
| 81 |
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"aggregation": "mean",
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| 82 |
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"higher_is_better": true
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| 83 |
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}
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| 84 |
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],
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| 85 |
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"output_type": "multiple_choice",
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| 86 |
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"repeats": 1,
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| 87 |
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"should_decontaminate": false,
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| 88 |
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"metadata": {
|
| 89 |
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"version": 0.0
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| 90 |
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}
|
| 91 |
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},
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| 92 |
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"placeat-nesciunt-1148_lsat-ar_base": {
|
| 93 |
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"task": "placeat-nesciunt-1148_lsat-ar_base",
|
| 94 |
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"group": "logikon-bench",
|
| 95 |
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"dataset_path": "cot-leaderboard/cot-eval-traces",
|
| 96 |
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"dataset_kwargs": {
|
| 97 |
+
"data_files": {
|
| 98 |
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"test": "placeat-nesciunt-1148-lsat-ar/test-00000-of-00001.parquet"
|
| 99 |
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}
|
| 100 |
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},
|
| 101 |
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"test_split": "test",
|
| 102 |
+
"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",
|
| 103 |
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"doc_to_target": "{{answer}}",
|
| 104 |
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"doc_to_choice": "{{options}}",
|
| 105 |
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"description": "",
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| 106 |
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"target_delimiter": " ",
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| 107 |
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"fewshot_delimiter": "\n\n",
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| 108 |
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"num_fewshot": 0,
|
| 109 |
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"metric_list": [
|
| 110 |
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{
|
| 111 |
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"metric": "acc",
|
| 112 |
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"aggregation": "mean",
|
| 113 |
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"higher_is_better": true
|
| 114 |
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}
|
| 115 |
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],
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| 116 |
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"output_type": "multiple_choice",
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| 117 |
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"repeats": 1,
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| 118 |
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"should_decontaminate": false,
|
| 119 |
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"metadata": {
|
| 120 |
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"version": 0.0
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| 121 |
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}
|
| 122 |
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},
|
| 123 |
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"placeat-nesciunt-1148_lsat-lr_base": {
|
| 124 |
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"task": "placeat-nesciunt-1148_lsat-lr_base",
|
| 125 |
+
"group": "logikon-bench",
|
| 126 |
+
"dataset_path": "cot-leaderboard/cot-eval-traces",
|
| 127 |
+
"dataset_kwargs": {
|
| 128 |
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"data_files": {
|
| 129 |
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"test": "placeat-nesciunt-1148-lsat-lr/test-00000-of-00001.parquet"
|
| 130 |
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}
|
| 131 |
+
},
|
| 132 |
+
"test_split": "test",
|
| 133 |
+
"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",
|
| 134 |
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"doc_to_target": "{{answer}}",
|
| 135 |
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"doc_to_choice": "{{options}}",
|
| 136 |
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"description": "",
|
| 137 |
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"target_delimiter": " ",
|
| 138 |
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"fewshot_delimiter": "\n\n",
|
| 139 |
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"num_fewshot": 0,
|
| 140 |
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"metric_list": [
|
| 141 |
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{
|
| 142 |
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"metric": "acc",
|
| 143 |
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"aggregation": "mean",
|
| 144 |
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"higher_is_better": true
|
| 145 |
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}
|
| 146 |
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],
|
| 147 |
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"output_type": "multiple_choice",
|
| 148 |
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"repeats": 1,
|
| 149 |
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"should_decontaminate": false,
|
| 150 |
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"metadata": {
|
| 151 |
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"version": 0.0
|
| 152 |
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}
|
| 153 |
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},
|
| 154 |
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"placeat-nesciunt-1148_lsat-rc_base": {
|
| 155 |
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"task": "placeat-nesciunt-1148_lsat-rc_base",
|
| 156 |
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"group": "logikon-bench",
|
| 157 |
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"dataset_path": "cot-leaderboard/cot-eval-traces",
|
| 158 |
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"dataset_kwargs": {
|
| 159 |
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"data_files": {
|
| 160 |
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"test": "placeat-nesciunt-1148-lsat-rc/test-00000-of-00001.parquet"
|
| 161 |
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}
|
| 162 |
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},
|
| 163 |
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"test_split": "test",
|
| 164 |
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"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",
|
| 165 |
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"doc_to_target": "{{answer}}",
|
| 166 |
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"doc_to_choice": "{{options}}",
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| 167 |
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"description": "",
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| 168 |
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"target_delimiter": " ",
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| 169 |
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"fewshot_delimiter": "\n\n",
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| 170 |
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"num_fewshot": 0,
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| 171 |
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"metric_list": [
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| 172 |
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{
|
| 173 |
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"metric": "acc",
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| 174 |
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"aggregation": "mean",
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| 175 |
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"higher_is_better": true
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| 176 |
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}
|
| 177 |
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],
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| 178 |
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"output_type": "multiple_choice",
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| 179 |
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"repeats": 1,
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| 180 |
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"should_decontaminate": false,
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| 181 |
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"metadata": {
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| 182 |
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"version": 0.0
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| 183 |
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}
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| 184 |
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}
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| 185 |
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},
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| 186 |
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"versions": {
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| 187 |
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"placeat-nesciunt-1148_logiqa2_base": 0.0,
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| 188 |
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"placeat-nesciunt-1148_logiqa_base": 0.0,
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"placeat-nesciunt-1148_lsat-ar_base": 0.0,
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| 190 |
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"placeat-nesciunt-1148_lsat-lr_base": 0.0,
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| 191 |
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"placeat-nesciunt-1148_lsat-rc_base": 0.0
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| 192 |
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},
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| 193 |
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"n-shot": {
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"placeat-nesciunt-1148_logiqa2_base": 0,
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| 195 |
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"placeat-nesciunt-1148_logiqa_base": 0,
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"placeat-nesciunt-1148_lsat-ar_base": 0,
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"placeat-nesciunt-1148_lsat-lr_base": 0,
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| 198 |
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"placeat-nesciunt-1148_lsat-rc_base": 0
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| 199 |
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},
|
| 200 |
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"config": {
|
| 201 |
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"model": "vllm",
|
| 202 |
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"model_args": "pretrained=allenai/tulu-2-dpo-7b,revision=main,dtype=bfloat16,tensor_parallel_size=1,gpu_memory_utilization=0.8,trust_remote_code=true,max_length=2048",
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| 203 |
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"batch_size": "auto",
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| 204 |
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"batch_sizes": [],
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| 205 |
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"device": null,
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| 206 |
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"use_cache": null,
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| 207 |
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"limit": null,
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| 208 |
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"bootstrap_iters": 100000,
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| 209 |
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"gen_kwargs": null
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| 210 |
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},
|
| 211 |
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"git_hash": "741db1c"
|
| 212 |
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}
|