picocreator
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Commit
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Parent(s):
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eval updates
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- compile-results.ipynb +95 -66
- lm-eval-output/aisingapore/sealion3b/ai2_arc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +132 -0
- lm-eval-output/aisingapore/sealion3b/ai2_arc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/aisingapore/sealion3b/anli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +161 -0
- lm-eval-output/aisingapore/sealion3b/anli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/aisingapore/sealion3b/arithmetic/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +378 -0
- lm-eval-output/aisingapore/sealion3b/arithmetic/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/aisingapore/sealion3b/arithmetic__/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +364 -0
- lm-eval-output/aisingapore/sealion3b/arithmetic__/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/aisingapore/sealion3b/asdiv/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +55 -0
- lm-eval-output/aisingapore/sealion3b/asdiv/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/aisingapore/sealion3b/blimp/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +2249 -0
- lm-eval-output/aisingapore/sealion3b/blimp/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/aisingapore/sealion3b/boolq/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +62 -0
- lm-eval-output/aisingapore/sealion3b/boolq/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/aisingapore/sealion3b/cb/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +68 -0
- lm-eval-output/aisingapore/sealion3b/cb/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/aisingapore/sealion3b/ceval-valid/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +2590 -0
- lm-eval-output/aisingapore/sealion3b/ceval-valid/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/aisingapore/sealion3b/cmmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +0 -0
- lm-eval-output/aisingapore/sealion3b/cmmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/aisingapore/sealion3b/cola/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +60 -0
- lm-eval-output/aisingapore/sealion3b/cola/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/aisingapore/sealion3b/copa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +58 -0
- lm-eval-output/aisingapore/sealion3b/copa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/aisingapore/sealion3b/crows_pairs/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +1052 -0
- lm-eval-output/aisingapore/sealion3b/crows_pairs/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/aisingapore/sealion3b/freebase/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +74 -0
- lm-eval-output/aisingapore/sealion3b/freebase/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/aisingapore/sealion3b/glue/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +374 -0
- lm-eval-output/aisingapore/sealion3b/glue/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/aisingapore/sealion3b/gsm8k/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +88 -0
- lm-eval-output/aisingapore/sealion3b/gsm8k/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/aisingapore/sealion3b/hellaswag/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +67 -0
- lm-eval-output/aisingapore/sealion3b/hellaswag/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/aisingapore/sealion3b/kmmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +2106 -0
- lm-eval-output/aisingapore/sealion3b/kmmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/aisingapore/sealion3b/kobest/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +293 -0
- lm-eval-output/aisingapore/sealion3b/kobest/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/aisingapore/sealion3b/lambada/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +126 -0
- lm-eval-output/aisingapore/sealion3b/lambada/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/aisingapore/sealion3b/lambada_cloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +126 -0
- lm-eval-output/aisingapore/sealion3b/lambada_cloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/aisingapore/sealion3b/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +252 -0
- lm-eval-output/aisingapore/sealion3b/lambada_multilingual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/aisingapore/sealion3b/logieval/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +75 -0
- lm-eval-output/aisingapore/sealion3b/logieval/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/aisingapore/sealion3b/logiqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +66 -0
- lm-eval-output/aisingapore/sealion3b/logiqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/aisingapore/sealion3b/logiqa2/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +66 -0
compile-results.ipynb
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"text": [
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"Defaulting to user installation because normal site-packages is not writeable\n",
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"Requirement already satisfied: pandas in /Users/picocreator/Library/Python/3.9/lib/python/site-packages (2.2.0)\n",
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"Requirement already satisfied: python-dateutil>=2.8.2 in /Users/picocreator/Library/Python/3.9/lib/python/site-packages (from pandas) (2.8.2)\n",
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"Requirement already satisfied: tzdata>=2022.7 in /Users/picocreator/Library/Python/3.9/lib/python/site-packages (from pandas) (2024.1)\n",
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"Requirement already satisfied: numpy<2,>=1.22.4 in /Users/picocreator/Library/Python/3.9/lib/python/site-packages (from pandas) (1.26.1)\n",
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"Requirement already satisfied:
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"Requirement already satisfied: six>=1.5 in /Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/lib/python3.9/site-packages (from python-dateutil>=2.8.2->pandas) (1.15.0)\n",
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"\u001b[33mWARNING: You are using pip version 21.2.4; however, version 24.0 is available.\n",
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"You should consider upgrading via the '/Library/Developer/CommandLineTools/usr/bin/python3 -m pip install --upgrade pip' command.\u001b[0m\n"
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"text": [
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"Found
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"Models: \n",
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"['mistralai/Mistral-7B-v0.1', 'mosaicml/mpt-7b-instruct', 'mosaicml/mpt-7b', 'mosaicml/mpt-7b-chat', 'bigscience/bloom-7b1', 'bigscience/bloomz-7b1-mt', 'bigscience/bloomz-7b1', 'EleutherAI/pythia-2.8b', 'EleutherAI/pythia-1.4b', 'EleutherAI/gpt-j-6b', 'EleutherAI/pythia-6.9b', 'google/flan-t5-base', 'google/gemma-2b', 'google/gemma-2b-it', 'google/gemma-7b', 'google/gemma-7b-it', 'google/flan-t5-large', 'microsoft/phi-1_5', 'microsoft/phi-2', 'microsoft/phi-1', 'allenai/OLMo-7B', 'TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T', 'TinyLlama/TinyLlama-1.1B-Chat-v1.0', 'RWKV/rwkv-5-world-1b5', 'RWKV/rwkv-5-world-3b', 'RWKV/rwkv-4-world-3b', 'RWKV/rwkv-4-world-1b5', 'RWKV/v5-Eagle-7B-HF', 'RWKV/rwkv-4-world-7b', './rwkv-x-dev/chunk4-0_85_pth', './rwkv-x-dev/chunk1-0_8_pth', './rwkv-x-dev/chunk0-0_8_pth', './rwkv-x-dev/chunk2-0_8_pth', './rwkv-x-dev/chunk3-0_8_pth', './rwkv-x-dev/chunk7-2-0_85_pth', './rwkv-x-dev/chunk5-0_85_pth', './rwkv-x-dev/RWKV-5-World-1B5-v2-20231025-ctx4096', './rwkv-x-dev/chunk8-1-0_85_pth', './rwkv-x-dev/r3-c1-8_pth', './rwkv-x-dev/RWKV-5-World-3B-v2-20231118-ctx16k', './rwkv-x-dev/RWKV-5-World-7B-v2-20240128-ctx4096', './rwkv-x-dev/chunk6-0_85_pth', './rwkv-x-dev/chunk7-1-0_85_pth', './rwkv-x-dev/Hermes-RWKV-v5-7B_pth', 'togethercomputer/RedPajama-INCITE-7B-Base', 'togethercomputer/RedPajama-INCITE-7B-Instruct', 'togethercomputer/RedPajama-INCITE-7B-Chat', 'facebook/opt-2.7b', 'facebook/opt-6.7b', 'facebook/opt-1.3b', 'tiiuae/falcon-7b-instruct', 'tiiuae/falcon-rw-1b', 'tiiuae/falcon-rw-7b', 'tiiuae/falcon-7b', 'huggyllama/llama-7b', 'meta-llama/Llama-2-7b-chat-hf', 'meta-llama/Llama-2-7b-hf']\n",
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}
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{
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" </tr>\n",
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" <tr>\n",
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" <th>29</th>\n",
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" <td>togethercomputer/RedPajama-INCITE-7B-Base</td>\n",
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" <td>0.525455</td>\n",
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" <td>0.036407</td>\n",
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" <td>0.036407</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>
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" <td>togethercomputer/RedPajama-INCITE-7B-Instruct</td>\n",
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" <td>0.528545</td>\n",
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" <td>0.036470</td>\n",
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" <td>0.036470</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>
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" <td>togethercomputer/RedPajama-INCITE-7B-Chat</td>\n",
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" <td>0.535455</td>\n",
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" <td>0.038723</td>\n",
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" <td>0.038723</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>
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" <td>facebook/opt-2.7b</td>\n",
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" <td>0.521818</td>\n",
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" <td>0.029821</td>\n",
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" <td>0.029821</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>
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" <td>facebook/opt-6.7b</td>\n",
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" <td>0.522909</td>\n",
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" <td>0.027216</td>\n",
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" <td>0.027216</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>
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" <td>facebook/opt-1.3b</td>\n",
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" <td>0.521818</td>\n",
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" <td>0.029112</td>\n",
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" <td>0.029112</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>
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" <td>tiiuae/falcon-7b-instruct</td>\n",
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" <td>0.536727</td>\n",
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" <td>0.053430</td>\n",
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" <td>0.053430</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>
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" <td>tiiuae/falcon-rw-1b</td>\n",
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" <td>0.522545</td>\n",
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" <td>0.029446</td>\n",
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" <td>0.029446</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>
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" <td>tiiuae/falcon-rw-7b</td>\n",
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" <td>0.535818</td>\n",
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" <td>0.033185</td>\n",
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" <td>0.033185</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>
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" <td>tiiuae/falcon-7b</td>\n",
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" <td>0.559636</td>\n",
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" <td>0.071650</td>\n",
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" <td>0.071650</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>
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" <td>huggyllama/llama-7b</td>\n",
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" <td>0.541818</td>\n",
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" <td>0.040718</td>\n",
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" <td>0.040718</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>
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" <td>meta-llama/Llama-2-7b-chat-hf</td>\n",
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" <td>0.559818</td>\n",
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" <td>0.054954</td>\n",
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" <td>0.054954</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>
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" <td>meta-llama/Llama-2-7b-hf</td>\n",
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" <td>0.566727</td>\n",
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" <td>0.052515</td>\n",
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"26 RWKV/rwkv-4-world-1b5 0.554000 \n",
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"27 RWKV/v5-Eagle-7B-HF 0.622364 \n",
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"28 RWKV/rwkv-4-world-7b 0.601455 \n",
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" avg_acc_stderr xcopa (acc) xcopa (acc_stderr) \n",
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"26 0.039406 0.554000 0.039406 \n",
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"27 0.070563 0.622364 0.070563 \n",
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"28 0.053116 0.601455 0.053116 \n",
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"output_type": "stream",
|
860 |
"text": [
|
861 |
-
"total
|
862 |
-
"-rw-r--r--@ 1 picocreator staff 1.0M
|
863 |
-
"-rw-r--r--@ 1 picocreator staff
|
864 |
-
"-rw-r--r--@ 1 picocreator staff
|
865 |
-
"-rw-r--r--@ 1 picocreator staff
|
866 |
-
"-rw-r--r--@ 1 picocreator staff
|
867 |
-
"-rw-r--r--@ 1 picocreator staff 14K
|
868 |
-
"-rw-r--r--@ 1 picocreator staff
|
869 |
-
"-rw-r--r--@ 1 picocreator staff
|
870 |
-
"-rw-r--r--@ 1 picocreator staff
|
871 |
-
"-rw-r--r--@ 1 picocreator staff 14K
|
872 |
-
"-rw-r--r-- 1 picocreator staff
|
873 |
-
"-rw-r--r--@ 1 picocreator staff
|
874 |
-
"-rw-r--r--@ 1 picocreator staff
|
875 |
]
|
876 |
}
|
877 |
],
|
@@ -916,8 +936,13 @@
|
|
916 |
"eng_grp_sorted.to_csv('summary/bf16-sorted-eng-summary.csv', index=False)\n",
|
917 |
"\n",
|
918 |
"# English focused subset\n",
|
919 |
-
"
|
920 |
-
"
|
|
|
|
|
|
|
|
|
|
|
921 |
"eng_focus = generate_result_table( inConfig = { \"dtype\": \"bfloat16\" }, inGroups=eng_focus_tGrps, inResults=eng_focus_tTest )\n",
|
922 |
"eng_focus_sorted = generate_result_table( inConfig = { \"dtype\": \"bfloat16\" }, inGroups=eng_focus_tGrps, inResults=eng_focus_tTest, sort=True )\n",
|
923 |
"eng_focus.to_csv('summary/bf16-eng-focus.csv', index=False)\n",
|
@@ -927,6 +952,10 @@
|
|
927 |
"rwkv_eng_focus_sorted = generate_result_table( inConfig = { \"dtype\": \"bfloat16\" }, inGroups=eng_focus_tGrps, inResults=eng_focus_tTest, exModels=[], inModels=[\"./rwkv-x-dev/*\", \"rwkv-x-dev/*\", \"RWKV/*\"], sort=True )\n",
|
928 |
"rwkv_eng_focus_sorted.to_csv('summary/rwkv-x-dev-bf16-sorted-eng-focus.csv', index=False)\n",
|
929 |
"\n",
|
|
|
|
|
|
|
|
|
930 |
"# List the files\n",
|
931 |
"!ls -lh summary"
|
932 |
]
|
|
|
2 |
"cells": [
|
3 |
{
|
4 |
"cell_type": "code",
|
5 |
+
"execution_count": 85,
|
6 |
"metadata": {},
|
7 |
"outputs": [
|
8 |
{
|
|
|
11 |
"text": [
|
12 |
"Defaulting to user installation because normal site-packages is not writeable\n",
|
13 |
"Requirement already satisfied: pandas in /Users/picocreator/Library/Python/3.9/lib/python/site-packages (2.2.0)\n",
|
14 |
+
"Requirement already satisfied: pytz>=2020.1 in /Users/picocreator/Library/Python/3.9/lib/python/site-packages (from pandas) (2024.1)\n",
|
15 |
"Requirement already satisfied: python-dateutil>=2.8.2 in /Users/picocreator/Library/Python/3.9/lib/python/site-packages (from pandas) (2.8.2)\n",
|
|
|
16 |
"Requirement already satisfied: numpy<2,>=1.22.4 in /Users/picocreator/Library/Python/3.9/lib/python/site-packages (from pandas) (1.26.1)\n",
|
17 |
+
"Requirement already satisfied: tzdata>=2022.7 in /Users/picocreator/Library/Python/3.9/lib/python/site-packages (from pandas) (2024.1)\n",
|
18 |
"Requirement already satisfied: six>=1.5 in /Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/lib/python3.9/site-packages (from python-dateutil>=2.8.2->pandas) (1.15.0)\n",
|
19 |
"\u001b[33mWARNING: You are using pip version 21.2.4; however, version 24.0 is available.\n",
|
20 |
"You should consider upgrading via the '/Library/Developer/CommandLineTools/usr/bin/python3 -m pip install --upgrade pip' command.\u001b[0m\n"
|
|
|
36 |
},
|
37 |
{
|
38 |
"cell_type": "code",
|
39 |
+
"execution_count": 86,
|
40 |
"metadata": {},
|
41 |
"outputs": [
|
42 |
{
|
43 |
"name": "stdout",
|
44 |
"output_type": "stream",
|
45 |
"text": [
|
46 |
+
"Found 3276 results.json files\n"
|
47 |
]
|
48 |
}
|
49 |
],
|
|
|
71 |
},
|
72 |
{
|
73 |
"cell_type": "code",
|
74 |
+
"execution_count": 87,
|
75 |
"metadata": {},
|
76 |
"outputs": [
|
77 |
{
|
|
|
156 |
},
|
157 |
{
|
158 |
"cell_type": "code",
|
159 |
+
"execution_count": 88,
|
160 |
"metadata": {},
|
161 |
"outputs": [
|
162 |
{
|
163 |
"name": "stdout",
|
164 |
"output_type": "stream",
|
165 |
"text": [
|
166 |
+
"Found 64 models\n",
|
167 |
"Models: \n",
|
168 |
+
"['mistralai/Mistral-7B-v0.1', 'mosaicml/mpt-7b-instruct', 'mosaicml/mpt-7b', 'mosaicml/mpt-7b-chat', 'bigscience/bloom-7b1', 'bigscience/bloomz-7b1-mt', 'bigscience/bloomz-7b1', 'EleutherAI/pythia-2.8b', 'EleutherAI/pythia-1.4b', 'EleutherAI/gpt-j-6b', 'EleutherAI/pythia-6.9b', 'google/flan-t5-base', 'google/gemma-2b', 'google/gemma-2b-it', 'google/gemma-7b', 'google/gemma-7b-it', 'google/flan-t5-large', 'microsoft/phi-1_5', 'microsoft/phi-2', 'microsoft/phi-1', 'allenai/OLMo-7B', 'TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T', 'TinyLlama/TinyLlama-1.1B-Chat-v1.0', 'RWKV/rwkv-5-world-1b5', 'RWKV/rwkv-5-world-3b', 'RWKV/rwkv-4-world-3b', 'RWKV/rwkv-4-world-1b5', 'RWKV/v5-Eagle-7B-HF', 'RWKV/rwkv-4-world-7b', 'aisingapore/sealion7b', 'aisingapore/sealion3b', './rwkv-x-dev/chunk4-0_85_pth', './rwkv-x-dev/chunk1-0_8_pth', './rwkv-x-dev/chunk0-0_8_pth', './rwkv-x-dev/chunk2-0_8_pth', './rwkv-x-dev/chunk3-0_8_pth', './rwkv-x-dev/r3-testchunk-1-8_pth', './rwkv-x-dev/chunk7-2-0_85_pth', './rwkv-x-dev/r3-testchunk2-blink_pth', './rwkv-x-dev/chunk5-0_85_pth', './rwkv-x-dev/RWKV-5-World-1B5-v2-20231025-ctx4096', './rwkv-x-dev/chunk8-1-0_85_pth', './rwkv-x-dev/r3-testchunk-1-8-no-cuda-with-warmup_pth', './rwkv-x-dev/r3-c1-8_pth', './rwkv-x-dev/RWKV-5-World-3B-v2-20231118-ctx16k', './rwkv-x-dev/RWKV-5-World-7B-v2-20240128-ctx4096', './rwkv-x-dev/chunk6-0_85_pth', './rwkv-x-dev/chunk7-1-0_85_pth', './rwkv-x-dev/r3-testchunk2_pth', './rwkv-x-dev/Hermes-RWKV-v5-7B_pth', './rwkv-x-dev/r3-testchunk-blink_pth', 'togethercomputer/RedPajama-INCITE-7B-Base', 'togethercomputer/RedPajama-INCITE-7B-Instruct', 'togethercomputer/RedPajama-INCITE-7B-Chat', 'facebook/opt-2.7b', 'facebook/opt-6.7b', 'facebook/opt-1.3b', 'tiiuae/falcon-7b-instruct', 'tiiuae/falcon-rw-1b', 'tiiuae/falcon-rw-7b', 'tiiuae/falcon-7b', 'huggyllama/llama-7b', 'meta-llama/Llama-2-7b-chat-hf', 'meta-llama/Llama-2-7b-hf']\n",
|
169 |
"Saved to compiled-lm-eval-results.json\n"
|
170 |
]
|
171 |
}
|
|
|
199 |
},
|
200 |
{
|
201 |
"cell_type": "code",
|
202 |
+
"execution_count": 89,
|
203 |
"metadata": {},
|
204 |
"outputs": [
|
205 |
{
|
|
|
465 |
" </tr>\n",
|
466 |
" <tr>\n",
|
467 |
" <th>29</th>\n",
|
468 |
+
" <td>aisingapore/sealion7b</td>\n",
|
469 |
+
" <td>0.559818</td>\n",
|
470 |
+
" <td>0.060680</td>\n",
|
471 |
+
" <td>0.559818</td>\n",
|
472 |
+
" <td>0.060680</td>\n",
|
473 |
+
" </tr>\n",
|
474 |
+
" <tr>\n",
|
475 |
+
" <th>30</th>\n",
|
476 |
+
" <td>aisingapore/sealion3b</td>\n",
|
477 |
+
" <td>0.559273</td>\n",
|
478 |
+
" <td>0.054490</td>\n",
|
479 |
+
" <td>0.559273</td>\n",
|
480 |
+
" <td>0.054490</td>\n",
|
481 |
+
" </tr>\n",
|
482 |
+
" <tr>\n",
|
483 |
+
" <th>31</th>\n",
|
484 |
" <td>togethercomputer/RedPajama-INCITE-7B-Base</td>\n",
|
485 |
" <td>0.525455</td>\n",
|
486 |
" <td>0.036407</td>\n",
|
|
|
488 |
" <td>0.036407</td>\n",
|
489 |
" </tr>\n",
|
490 |
" <tr>\n",
|
491 |
+
" <th>32</th>\n",
|
492 |
" <td>togethercomputer/RedPajama-INCITE-7B-Instruct</td>\n",
|
493 |
" <td>0.528545</td>\n",
|
494 |
" <td>0.036470</td>\n",
|
|
|
496 |
" <td>0.036470</td>\n",
|
497 |
" </tr>\n",
|
498 |
" <tr>\n",
|
499 |
+
" <th>33</th>\n",
|
500 |
" <td>togethercomputer/RedPajama-INCITE-7B-Chat</td>\n",
|
501 |
" <td>0.535455</td>\n",
|
502 |
" <td>0.038723</td>\n",
|
|
|
504 |
" <td>0.038723</td>\n",
|
505 |
" </tr>\n",
|
506 |
" <tr>\n",
|
507 |
+
" <th>34</th>\n",
|
508 |
" <td>facebook/opt-2.7b</td>\n",
|
509 |
" <td>0.521818</td>\n",
|
510 |
" <td>0.029821</td>\n",
|
|
|
512 |
" <td>0.029821</td>\n",
|
513 |
" </tr>\n",
|
514 |
" <tr>\n",
|
515 |
+
" <th>35</th>\n",
|
516 |
" <td>facebook/opt-6.7b</td>\n",
|
517 |
" <td>0.522909</td>\n",
|
518 |
" <td>0.027216</td>\n",
|
|
|
520 |
" <td>0.027216</td>\n",
|
521 |
" </tr>\n",
|
522 |
" <tr>\n",
|
523 |
+
" <th>36</th>\n",
|
524 |
" <td>facebook/opt-1.3b</td>\n",
|
525 |
" <td>0.521818</td>\n",
|
526 |
" <td>0.029112</td>\n",
|
|
|
528 |
" <td>0.029112</td>\n",
|
529 |
" </tr>\n",
|
530 |
" <tr>\n",
|
531 |
+
" <th>37</th>\n",
|
532 |
" <td>tiiuae/falcon-7b-instruct</td>\n",
|
533 |
" <td>0.536727</td>\n",
|
534 |
" <td>0.053430</td>\n",
|
|
|
536 |
" <td>0.053430</td>\n",
|
537 |
" </tr>\n",
|
538 |
" <tr>\n",
|
539 |
+
" <th>38</th>\n",
|
540 |
" <td>tiiuae/falcon-rw-1b</td>\n",
|
541 |
" <td>0.522545</td>\n",
|
542 |
" <td>0.029446</td>\n",
|
|
|
544 |
" <td>0.029446</td>\n",
|
545 |
" </tr>\n",
|
546 |
" <tr>\n",
|
547 |
+
" <th>39</th>\n",
|
548 |
" <td>tiiuae/falcon-rw-7b</td>\n",
|
549 |
" <td>0.535818</td>\n",
|
550 |
" <td>0.033185</td>\n",
|
|
|
552 |
" <td>0.033185</td>\n",
|
553 |
" </tr>\n",
|
554 |
" <tr>\n",
|
555 |
+
" <th>40</th>\n",
|
556 |
" <td>tiiuae/falcon-7b</td>\n",
|
557 |
" <td>0.559636</td>\n",
|
558 |
" <td>0.071650</td>\n",
|
|
|
560 |
" <td>0.071650</td>\n",
|
561 |
" </tr>\n",
|
562 |
" <tr>\n",
|
563 |
+
" <th>41</th>\n",
|
564 |
" <td>huggyllama/llama-7b</td>\n",
|
565 |
" <td>0.541818</td>\n",
|
566 |
" <td>0.040718</td>\n",
|
|
|
568 |
" <td>0.040718</td>\n",
|
569 |
" </tr>\n",
|
570 |
" <tr>\n",
|
571 |
+
" <th>42</th>\n",
|
572 |
" <td>meta-llama/Llama-2-7b-chat-hf</td>\n",
|
573 |
" <td>0.559818</td>\n",
|
574 |
" <td>0.054954</td>\n",
|
|
|
576 |
" <td>0.054954</td>\n",
|
577 |
" </tr>\n",
|
578 |
" <tr>\n",
|
579 |
+
" <th>43</th>\n",
|
580 |
" <td>meta-llama/Llama-2-7b-hf</td>\n",
|
581 |
" <td>0.566727</td>\n",
|
582 |
" <td>0.052515</td>\n",
|
|
|
618 |
"26 RWKV/rwkv-4-world-1b5 0.554000 \n",
|
619 |
"27 RWKV/v5-Eagle-7B-HF 0.622364 \n",
|
620 |
"28 RWKV/rwkv-4-world-7b 0.601455 \n",
|
621 |
+
"29 aisingapore/sealion7b 0.559818 \n",
|
622 |
+
"30 aisingapore/sealion3b 0.559273 \n",
|
623 |
+
"31 togethercomputer/RedPajama-INCITE-7B-Base 0.525455 \n",
|
624 |
+
"32 togethercomputer/RedPajama-INCITE-7B-Instruct 0.528545 \n",
|
625 |
+
"33 togethercomputer/RedPajama-INCITE-7B-Chat 0.535455 \n",
|
626 |
+
"34 facebook/opt-2.7b 0.521818 \n",
|
627 |
+
"35 facebook/opt-6.7b 0.522909 \n",
|
628 |
+
"36 facebook/opt-1.3b 0.521818 \n",
|
629 |
+
"37 tiiuae/falcon-7b-instruct 0.536727 \n",
|
630 |
+
"38 tiiuae/falcon-rw-1b 0.522545 \n",
|
631 |
+
"39 tiiuae/falcon-rw-7b 0.535818 \n",
|
632 |
+
"40 tiiuae/falcon-7b 0.559636 \n",
|
633 |
+
"41 huggyllama/llama-7b 0.541818 \n",
|
634 |
+
"42 meta-llama/Llama-2-7b-chat-hf 0.559818 \n",
|
635 |
+
"43 meta-llama/Llama-2-7b-hf 0.566727 \n",
|
636 |
"\n",
|
637 |
" avg_acc_stderr xcopa (acc) xcopa (acc_stderr) \n",
|
638 |
"0 0.053879 0.559455 0.053879 \n",
|
|
|
664 |
"26 0.039406 0.554000 0.039406 \n",
|
665 |
"27 0.070563 0.622364 0.070563 \n",
|
666 |
"28 0.053116 0.601455 0.053116 \n",
|
667 |
+
"29 0.060680 0.559818 0.060680 \n",
|
668 |
+
"30 0.054490 0.559273 0.054490 \n",
|
669 |
+
"31 0.036407 0.525455 0.036407 \n",
|
670 |
+
"32 0.036470 0.528545 0.036470 \n",
|
671 |
+
"33 0.038723 0.535455 0.038723 \n",
|
672 |
+
"34 0.029821 0.521818 0.029821 \n",
|
673 |
+
"35 0.027216 0.522909 0.027216 \n",
|
674 |
+
"36 0.029112 0.521818 0.029112 \n",
|
675 |
+
"37 0.053430 0.536727 0.053430 \n",
|
676 |
+
"38 0.029446 0.522545 0.029446 \n",
|
677 |
+
"39 0.033185 0.535818 0.033185 \n",
|
678 |
+
"40 0.071650 0.559636 0.071650 \n",
|
679 |
+
"41 0.040718 0.541818 0.040718 \n",
|
680 |
+
"42 0.054954 0.559818 0.054954 \n",
|
681 |
+
"43 0.052515 0.566727 0.052515 "
|
682 |
]
|
683 |
},
|
684 |
+
"execution_count": 89,
|
685 |
"metadata": {},
|
686 |
"output_type": "execute_result"
|
687 |
}
|
|
|
871 |
},
|
872 |
{
|
873 |
"cell_type": "code",
|
874 |
+
"execution_count": 90,
|
875 |
"metadata": {},
|
876 |
"outputs": [
|
877 |
{
|
878 |
"name": "stdout",
|
879 |
"output_type": "stream",
|
880 |
"text": [
|
881 |
+
"total 21400\n",
|
882 |
+
"-rw-r--r--@ 1 picocreator staff 1.0M Mar 1 12:43 bf16-all-results-and-groups.csv\n",
|
883 |
+
"-rw-r--r--@ 1 picocreator staff 41K Mar 1 12:43 bf16-eng-focus.csv\n",
|
884 |
+
"-rw-r--r--@ 1 picocreator staff 966K Mar 1 12:43 bf16-eng-results.csv\n",
|
885 |
+
"-rw-r--r--@ 1 picocreator staff 81K Mar 1 12:43 bf16-eng-summary.csv\n",
|
886 |
+
"-rw-r--r--@ 1 picocreator staff 100K Mar 1 12:43 bf16-multilang-results.csv\n",
|
887 |
+
"-rw-r--r--@ 1 picocreator staff 14K Mar 1 12:43 bf16-multilang-summary.csv\n",
|
888 |
+
"-rw-r--r--@ 1 picocreator staff 41K Mar 1 12:43 bf16-sorted-eng-focus.csv\n",
|
889 |
+
"-rw-r--r--@ 1 picocreator staff 966K Mar 1 12:43 bf16-sorted-eng-results.csv\n",
|
890 |
+
"-rw-r--r--@ 1 picocreator staff 81K Mar 1 12:43 bf16-sorted-eng-summary.csv\n",
|
891 |
+
"-rw-r--r--@ 1 picocreator staff 14K Mar 1 12:43 bf16-sorted-multilang-summary.csv\n",
|
892 |
+
"-rw-r--r-- 1 picocreator staff 5.1M Mar 1 12:43 compiled-lm-eval-results.json\n",
|
893 |
+
"-rw-r--r--@ 1 picocreator staff 23K Mar 1 12:43 rwkv-x-dev-bf16-sorted-eng-focus.csv\n",
|
894 |
+
"-rw-r--r--@ 1 picocreator staff 7.8K Mar 1 12:43 rwkv-x-dev-bf16-sorted-multilang-summary.csv\n"
|
895 |
]
|
896 |
}
|
897 |
],
|
|
|
936 |
"eng_grp_sorted.to_csv('summary/bf16-sorted-eng-summary.csv', index=False)\n",
|
937 |
"\n",
|
938 |
"# English focused subset\n",
|
939 |
+
"eng_focus_mixed=[\"lambda_*\", \"blimp\", \"piqa\", \"copa\", \"sciq\", \"pythia\", \"truthfulqa\", \"record\"] #\"np_open\", \n",
|
940 |
+
"eng_focus_tGrps=[\"anli\", \"glue\", \"lambada\", \"cmmlu\", \"mmlu\" ]\n",
|
941 |
+
"eng_focus_tTest=[\"blimp\", \"arc_*\", \"logiqa\", \"winogrande\", \"openbookqa\", \"hellaswag\"]\n",
|
942 |
+
"\n",
|
943 |
+
"eng_focus_tGrps = eng_focus_tGrps + eng_focus_mixed\n",
|
944 |
+
"eng_focus_tTest = eng_focus_tTest + eng_focus_mixed\n",
|
945 |
+
"\n",
|
946 |
"eng_focus = generate_result_table( inConfig = { \"dtype\": \"bfloat16\" }, inGroups=eng_focus_tGrps, inResults=eng_focus_tTest )\n",
|
947 |
"eng_focus_sorted = generate_result_table( inConfig = { \"dtype\": \"bfloat16\" }, inGroups=eng_focus_tGrps, inResults=eng_focus_tTest, sort=True )\n",
|
948 |
"eng_focus.to_csv('summary/bf16-eng-focus.csv', index=False)\n",
|
|
|
952 |
"rwkv_eng_focus_sorted = generate_result_table( inConfig = { \"dtype\": \"bfloat16\" }, inGroups=eng_focus_tGrps, inResults=eng_focus_tTest, exModels=[], inModels=[\"./rwkv-x-dev/*\", \"rwkv-x-dev/*\", \"RWKV/*\"], sort=True )\n",
|
953 |
"rwkv_eng_focus_sorted.to_csv('summary/rwkv-x-dev-bf16-sorted-eng-focus.csv', index=False)\n",
|
954 |
"\n",
|
955 |
+
"# # Overall results\n",
|
956 |
+
"# rwkv_all_results = generate_result_table( inConfig = { \"dtype\": \"bfloat16\" }, inGroups=[\"*\"], inResults=[\"*\"], inModels=[\"./rwkv-x-dev/*\", \"rwkv-x-dev/*\", \"RWKV/*\"], exModels=[], sort=True )\n",
|
957 |
+
"# rwkv_all_results.to_csv('summary/rwkv-x-dev-bf16-all-results-and-groups.csv', index=False)\n",
|
958 |
+
"\n",
|
959 |
"# List the files\n",
|
960 |
"!ls -lh summary"
|
961 |
]
|
lm-eval-output/aisingapore/sealion3b/ai2_arc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
@@ -0,0 +1,132 @@
|
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|
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|
|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
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|
|
|
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|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"results": {
|
3 |
+
"ai2_arc": {
|
4 |
+
"acc,none": 0.5149379932356257,
|
5 |
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"acc_stderr,none": 0.10435453018149357,
|
6 |
+
"acc_norm,none": 0.4906989853438557,
|
7 |
+
"acc_norm_stderr,none": 0.0846913591999533,
|
8 |
+
"alias": "ai2_arc"
|
9 |
+
},
|
10 |
+
"arc_challenge": {
|
11 |
+
"acc,none": 0.29436860068259385,
|
12 |
+
"acc_stderr,none": 0.013318528460539419,
|
13 |
+
"acc_norm,none": 0.3122866894197952,
|
14 |
+
"acc_norm_stderr,none": 0.013542598541688065,
|
15 |
+
"alias": " - arc_challenge"
|
16 |
+
},
|
17 |
+
"arc_easy": {
|
18 |
+
"acc,none": 0.6237373737373737,
|
19 |
+
"acc_stderr,none": 0.00994064622151379,
|
20 |
+
"acc_norm,none": 0.5787037037037037,
|
21 |
+
"acc_norm_stderr,none": 0.010131882498193131,
|
22 |
+
"alias": " - arc_easy"
|
23 |
+
}
|
24 |
+
},
|
25 |
+
"groups": {
|
26 |
+
"ai2_arc": {
|
27 |
+
"acc,none": 0.5149379932356257,
|
28 |
+
"acc_stderr,none": 0.10435453018149357,
|
29 |
+
"acc_norm,none": 0.4906989853438557,
|
30 |
+
"acc_norm_stderr,none": 0.0846913591999533,
|
31 |
+
"alias": "ai2_arc"
|
32 |
+
}
|
33 |
+
},
|
34 |
+
"configs": {
|
35 |
+
"arc_challenge": {
|
36 |
+
"task": "arc_challenge",
|
37 |
+
"group": [
|
38 |
+
"ai2_arc"
|
39 |
+
],
|
40 |
+
"dataset_path": "allenai/ai2_arc",
|
41 |
+
"dataset_name": "ARC-Challenge",
|
42 |
+
"training_split": "train",
|
43 |
+
"validation_split": "validation",
|
44 |
+
"test_split": "test",
|
45 |
+
"doc_to_text": "Question: {{question}}\nAnswer:",
|
46 |
+
"doc_to_target": "{{choices.label.index(answerKey)}}",
|
47 |
+
"doc_to_choice": "{{choices.text}}",
|
48 |
+
"description": "",
|
49 |
+
"target_delimiter": " ",
|
50 |
+
"fewshot_delimiter": "\n\n",
|
51 |
+
"metric_list": [
|
52 |
+
{
|
53 |
+
"metric": "acc",
|
54 |
+
"aggregation": "mean",
|
55 |
+
"higher_is_better": true
|
56 |
+
},
|
57 |
+
{
|
58 |
+
"metric": "acc_norm",
|
59 |
+
"aggregation": "mean",
|
60 |
+
"higher_is_better": true
|
61 |
+
}
|
62 |
+
],
|
63 |
+
"output_type": "multiple_choice",
|
64 |
+
"repeats": 1,
|
65 |
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"should_decontaminate": true,
|
66 |
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"doc_to_decontamination_query": "Question: {{question}}\nAnswer:",
|
67 |
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"metadata": {
|
68 |
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"version": 1.0
|
69 |
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}
|
70 |
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},
|
71 |
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"arc_easy": {
|
72 |
+
"task": "arc_easy",
|
73 |
+
"group": [
|
74 |
+
"ai2_arc"
|
75 |
+
],
|
76 |
+
"dataset_path": "allenai/ai2_arc",
|
77 |
+
"dataset_name": "ARC-Easy",
|
78 |
+
"training_split": "train",
|
79 |
+
"validation_split": "validation",
|
80 |
+
"test_split": "test",
|
81 |
+
"doc_to_text": "Question: {{question}}\nAnswer:",
|
82 |
+
"doc_to_target": "{{choices.label.index(answerKey)}}",
|
83 |
+
"doc_to_choice": "{{choices.text}}",
|
84 |
+
"description": "",
|
85 |
+
"target_delimiter": " ",
|
86 |
+
"fewshot_delimiter": "\n\n",
|
87 |
+
"metric_list": [
|
88 |
+
{
|
89 |
+
"metric": "acc",
|
90 |
+
"aggregation": "mean",
|
91 |
+
"higher_is_better": true
|
92 |
+
},
|
93 |
+
{
|
94 |
+
"metric": "acc_norm",
|
95 |
+
"aggregation": "mean",
|
96 |
+
"higher_is_better": true
|
97 |
+
}
|
98 |
+
],
|
99 |
+
"output_type": "multiple_choice",
|
100 |
+
"repeats": 1,
|
101 |
+
"should_decontaminate": true,
|
102 |
+
"doc_to_decontamination_query": "Question: {{question}}\nAnswer:",
|
103 |
+
"metadata": {
|
104 |
+
"version": 1.0
|
105 |
+
}
|
106 |
+
}
|
107 |
+
},
|
108 |
+
"versions": {
|
109 |
+
"ai2_arc": "N/A",
|
110 |
+
"arc_challenge": 1.0,
|
111 |
+
"arc_easy": 1.0
|
112 |
+
},
|
113 |
+
"n-shot": {
|
114 |
+
"ai2_arc": 0,
|
115 |
+
"arc_challenge": 0,
|
116 |
+
"arc_easy": 0
|
117 |
+
},
|
118 |
+
"config": {
|
119 |
+
"model": "hf",
|
120 |
+
"model_args": "pretrained=aisingapore/sealion3b,dtype=bfloat16,trust_remote_code=True",
|
121 |
+
"batch_size": "auto",
|
122 |
+
"batch_sizes": [
|
123 |
+
64
|
124 |
+
],
|
125 |
+
"device": null,
|
126 |
+
"use_cache": null,
|
127 |
+
"limit": null,
|
128 |
+
"bootstrap_iters": 100000,
|
129 |
+
"gen_kwargs": null
|
130 |
+
},
|
131 |
+
"git_hash": "8281e96"
|
132 |
+
}
|
lm-eval-output/aisingapore/sealion3b/ai2_arc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c14daa9f180d1a1ed830ba4645edc4a8a99954cc42822988e40a9055ec0050c1
|
3 |
+
size 16401
|
lm-eval-output/aisingapore/sealion3b/anli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
@@ -0,0 +1,161 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"results": {
|
3 |
+
"anli": {
|
4 |
+
"acc,none": 0.334375,
|
5 |
+
"acc_stderr,none": 0.014450347970381248,
|
6 |
+
"alias": "anli"
|
7 |
+
},
|
8 |
+
"anli_r1": {
|
9 |
+
"acc,none": 0.335,
|
10 |
+
"acc_stderr,none": 0.01493311749093257,
|
11 |
+
"alias": " - anli_r1"
|
12 |
+
},
|
13 |
+
"anli_r2": {
|
14 |
+
"acc,none": 0.334,
|
15 |
+
"acc_stderr,none": 0.014922019523732961,
|
16 |
+
"alias": " - anli_r2"
|
17 |
+
},
|
18 |
+
"anli_r3": {
|
19 |
+
"acc,none": 0.33416666666666667,
|
20 |
+
"acc_stderr,none": 0.01362243481313678,
|
21 |
+
"alias": " - anli_r3"
|
22 |
+
}
|
23 |
+
},
|
24 |
+
"groups": {
|
25 |
+
"anli": {
|
26 |
+
"acc,none": 0.334375,
|
27 |
+
"acc_stderr,none": 0.014450347970381248,
|
28 |
+
"alias": "anli"
|
29 |
+
}
|
30 |
+
},
|
31 |
+
"configs": {
|
32 |
+
"anli_r1": {
|
33 |
+
"task": "anli_r1",
|
34 |
+
"group": [
|
35 |
+
"anli"
|
36 |
+
],
|
37 |
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"dataset_path": "anli",
|
38 |
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"training_split": "train_r1",
|
39 |
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"validation_split": "dev_r1",
|
40 |
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"test_split": "test_r1",
|
41 |
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"doc_to_text": "{{premise}}\nQuestion: {{hypothesis}} True, False, or Neither?\nAnswer:",
|
42 |
+
"doc_to_target": "{{['True', 'Neither', 'False'][label]}}",
|
43 |
+
"doc_to_choice": [
|
44 |
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"True",
|
45 |
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|
46 |
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|
47 |
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],
|
48 |
+
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|
49 |
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|
50 |
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|
51 |
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|
52 |
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{
|
53 |
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"metric": "acc",
|
54 |
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"aggregation": "mean",
|
55 |
+
"higher_is_better": true
|
56 |
+
}
|
57 |
+
],
|
58 |
+
"output_type": "multiple_choice",
|
59 |
+
"repeats": 1,
|
60 |
+
"should_decontaminate": true,
|
61 |
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|
62 |
+
"metadata": {
|
63 |
+
"version": 1.0
|
64 |
+
}
|
65 |
+
},
|
66 |
+
"anli_r2": {
|
67 |
+
"task": "anli_r2",
|
68 |
+
"group": [
|
69 |
+
"anli"
|
70 |
+
],
|
71 |
+
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|
72 |
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"training_split": "train_r2",
|
73 |
+
"validation_split": "dev_r2",
|
74 |
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"test_split": "test_r2",
|
75 |
+
"doc_to_text": "{{premise}}\nQuestion: {{hypothesis}} True, False, or Neither?\nAnswer:",
|
76 |
+
"doc_to_target": "{{['True', 'Neither', 'False'][label]}}",
|
77 |
+
"doc_to_choice": [
|
78 |
+
"True",
|
79 |
+
"Neither",
|
80 |
+
"False"
|
81 |
+
],
|
82 |
+
"description": "",
|
83 |
+
"target_delimiter": " ",
|
84 |
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"fewshot_delimiter": "\n\n",
|
85 |
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"metric_list": [
|
86 |
+
{
|
87 |
+
"metric": "acc",
|
88 |
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"aggregation": "mean",
|
89 |
+
"higher_is_better": true
|
90 |
+
}
|
91 |
+
],
|
92 |
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"output_type": "multiple_choice",
|
93 |
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|
94 |
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|
95 |
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|
96 |
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|
97 |
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|
98 |
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}
|
99 |
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},
|
100 |
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"anli_r3": {
|
101 |
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"task": "anli_r3",
|
102 |
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"group": [
|
103 |
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"anli"
|
104 |
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],
|
105 |
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"dataset_path": "anli",
|
106 |
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|
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|
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"test_split": "test_r3",
|
109 |
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"doc_to_text": "{{premise}}\nQuestion: {{hypothesis}} True, False, or Neither?\nAnswer:",
|
110 |
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"doc_to_target": "{{['True', 'Neither', 'False'][label]}}",
|
111 |
+
"doc_to_choice": [
|
112 |
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|
113 |
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|
114 |
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|
115 |
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],
|
116 |
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"description": "",
|
117 |
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"target_delimiter": " ",
|
118 |
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"fewshot_delimiter": "\n\n",
|
119 |
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"metric_list": [
|
120 |
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{
|
121 |
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"metric": "acc",
|
122 |
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|
123 |
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|
124 |
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}
|
125 |
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|
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|
127 |
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|
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|
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|
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|
132 |
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}
|
133 |
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}
|
134 |
+
},
|
135 |
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"versions": {
|
136 |
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"anli": "N/A",
|
137 |
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"anli_r1": 1.0,
|
138 |
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"anli_r2": 1.0,
|
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"anli_r3": 1.0
|
140 |
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},
|
141 |
+
"n-shot": {
|
142 |
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"anli": 0,
|
143 |
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"anli_r1": 0,
|
144 |
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"anli_r2": 0,
|
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"anli_r3": 0
|
146 |
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},
|
147 |
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"config": {
|
148 |
+
"model": "hf",
|
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|
1 |
+
{
|
2 |
+
"results": {
|
3 |
+
"blimp": {
|
4 |
+
"acc,none": 0.7828059701492537,
|
5 |
+
"acc_stderr,none": 0.1669053724124118,
|
6 |
+
"alias": "blimp"
|
7 |
+
},
|
8 |
+
"blimp_adjunct_island": {
|
9 |
+
"acc,none": 0.884,
|
10 |
+
"acc_stderr,none": 0.01013146813875702,
|
11 |
+
"alias": " - blimp_adjunct_island"
|
12 |
+
},
|
13 |
+
"blimp_anaphor_gender_agreement": {
|
14 |
+
"acc,none": 0.977,
|
15 |
+
"acc_stderr,none": 0.004742730594656799,
|
16 |
+
"alias": " - blimp_anaphor_gender_agreement"
|
17 |
+
},
|
18 |
+
"blimp_anaphor_number_agreement": {
|
19 |
+
"acc,none": 0.987,
|
20 |
+
"acc_stderr,none": 0.0035838308894036368,
|
21 |
+
"alias": " - blimp_anaphor_number_agreement"
|
22 |
+
},
|
23 |
+
"blimp_animate_subject_passive": {
|
24 |
+
"acc,none": 0.781,
|
25 |
+
"acc_stderr,none": 0.01308473195026204,
|
26 |
+
"alias": " - blimp_animate_subject_passive"
|
27 |
+
},
|
28 |
+
"blimp_animate_subject_trans": {
|
29 |
+
"acc,none": 0.907,
|
30 |
+
"acc_stderr,none": 0.009188875634996688,
|
31 |
+
"alias": " - blimp_animate_subject_trans"
|
32 |
+
},
|
33 |
+
"blimp_causative": {
|
34 |
+
"acc,none": 0.733,
|
35 |
+
"acc_stderr,none": 0.013996674851796256,
|
36 |
+
"alias": " - blimp_causative"
|
37 |
+
},
|
38 |
+
"blimp_complex_NP_island": {
|
39 |
+
"acc,none": 0.595,
|
40 |
+
"acc_stderr,none": 0.015531136990453043,
|
41 |
+
"alias": " - blimp_complex_NP_island"
|
42 |
+
},
|
43 |
+
"blimp_coordinate_structure_constraint_complex_left_branch": {
|
44 |
+
"acc,none": 0.754,
|
45 |
+
"acc_stderr,none": 0.013626065817750645,
|
46 |
+
"alias": " - blimp_coordinate_structure_constraint_complex_left_branch"
|
47 |
+
},
|
48 |
+
"blimp_coordinate_structure_constraint_object_extraction": {
|
49 |
+
"acc,none": 0.847,
|
50 |
+
"acc_stderr,none": 0.011389500459665546,
|
51 |
+
"alias": " - blimp_coordinate_structure_constraint_object_extraction"
|
52 |
+
},
|
53 |
+
"blimp_determiner_noun_agreement_1": {
|
54 |
+
"acc,none": 0.987,
|
55 |
+
"acc_stderr,none": 0.0035838308894036368,
|
56 |
+
"alias": " - blimp_determiner_noun_agreement_1"
|
57 |
+
},
|
58 |
+
"blimp_determiner_noun_agreement_2": {
|
59 |
+
"acc,none": 0.952,
|
60 |
+
"acc_stderr,none": 0.006763264133666678,
|
61 |
+
"alias": " - blimp_determiner_noun_agreement_2"
|
62 |
+
},
|
63 |
+
"blimp_determiner_noun_agreement_irregular_1": {
|
64 |
+
"acc,none": 0.911,
|
65 |
+
"acc_stderr,none": 0.009008893392651528,
|
66 |
+
"alias": " - blimp_determiner_noun_agreement_irregular_1"
|
67 |
+
},
|
68 |
+
"blimp_determiner_noun_agreement_irregular_2": {
|
69 |
+
"acc,none": 0.913,
|
70 |
+
"acc_stderr,none": 0.008916866630745921,
|
71 |
+
"alias": " - blimp_determiner_noun_agreement_irregular_2"
|
72 |
+
},
|
73 |
+
"blimp_determiner_noun_agreement_with_adj_2": {
|
74 |
+
"acc,none": 0.894,
|
75 |
+
"acc_stderr,none": 0.009739551265785152,
|
76 |
+
"alias": " - blimp_determiner_noun_agreement_with_adj_2"
|
77 |
+
},
|
78 |
+
"blimp_determiner_noun_agreement_with_adj_irregular_1": {
|
79 |
+
"acc,none": 0.893,
|
80 |
+
"acc_stderr,none": 0.009779910359847167,
|
81 |
+
"alias": " - blimp_determiner_noun_agreement_with_adj_irregular_1"
|
82 |
+
},
|
83 |
+
"blimp_determiner_noun_agreement_with_adj_irregular_2": {
|
84 |
+
"acc,none": 0.877,
|
85 |
+
"acc_stderr,none": 0.01039129342184988,
|
86 |
+
"alias": " - blimp_determiner_noun_agreement_with_adj_irregular_2"
|
87 |
+
},
|
88 |
+
"blimp_determiner_noun_agreement_with_adjective_1": {
|
89 |
+
"acc,none": 0.962,
|
90 |
+
"acc_stderr,none": 0.006049181150584938,
|
91 |
+
"alias": " - blimp_determiner_noun_agreement_with_adjective_1"
|
92 |
+
},
|
93 |
+
"blimp_distractor_agreement_relational_noun": {
|
94 |
+
"acc,none": 0.781,
|
95 |
+
"acc_stderr,none": 0.013084731950262012,
|
96 |
+
"alias": " - blimp_distractor_agreement_relational_noun"
|
97 |
+
},
|
98 |
+
"blimp_distractor_agreement_relative_clause": {
|
99 |
+
"acc,none": 0.602,
|
100 |
+
"acc_stderr,none": 0.015486634102858924,
|
101 |
+
"alias": " - blimp_distractor_agreement_relative_clause"
|
102 |
+
},
|
103 |
+
"blimp_drop_argument": {
|
104 |
+
"acc,none": 0.693,
|
105 |
+
"acc_stderr,none": 0.014593284892852621,
|
106 |
+
"alias": " - blimp_drop_argument"
|
107 |
+
},
|
108 |
+
"blimp_ellipsis_n_bar_1": {
|
109 |
+
"acc,none": 0.754,
|
110 |
+
"acc_stderr,none": 0.013626065817750634,
|
111 |
+
"alias": " - blimp_ellipsis_n_bar_1"
|
112 |
+
},
|
113 |
+
"blimp_ellipsis_n_bar_2": {
|
114 |
+
"acc,none": 0.887,
|
115 |
+
"acc_stderr,none": 0.010016552866696837,
|
116 |
+
"alias": " - blimp_ellipsis_n_bar_2"
|
117 |
+
},
|
118 |
+
"blimp_existential_there_object_raising": {
|
119 |
+
"acc,none": 0.835,
|
120 |
+
"acc_stderr,none": 0.01174363286691618,
|
121 |
+
"alias": " - blimp_existential_there_object_raising"
|
122 |
+
},
|
123 |
+
"blimp_existential_there_quantifiers_1": {
|
124 |
+
"acc,none": 0.984,
|
125 |
+
"acc_stderr,none": 0.0039698563903194165,
|
126 |
+
"alias": " - blimp_existential_there_quantifiers_1"
|
127 |
+
},
|
128 |
+
"blimp_existential_there_quantifiers_2": {
|
129 |
+
"acc,none": 0.234,
|
130 |
+
"acc_stderr,none": 0.01339490288966001,
|
131 |
+
"alias": " - blimp_existential_there_quantifiers_2"
|
132 |
+
},
|
133 |
+
"blimp_existential_there_subject_raising": {
|
134 |
+
"acc,none": 0.907,
|
135 |
+
"acc_stderr,none": 0.009188875634996685,
|
136 |
+
"alias": " - blimp_existential_there_subject_raising"
|
137 |
+
},
|
138 |
+
"blimp_expletive_it_object_raising": {
|
139 |
+
"acc,none": 0.75,
|
140 |
+
"acc_stderr,none": 0.013699915608779773,
|
141 |
+
"alias": " - blimp_expletive_it_object_raising"
|
142 |
+
},
|
143 |
+
"blimp_inchoative": {
|
144 |
+
"acc,none": 0.594,
|
145 |
+
"acc_stderr,none": 0.015537226438634595,
|
146 |
+
"alias": " - blimp_inchoative"
|
147 |
+
},
|
148 |
+
"blimp_intransitive": {
|
149 |
+
"acc,none": 0.707,
|
150 |
+
"acc_stderr,none": 0.014399942998441271,
|
151 |
+
"alias": " - blimp_intransitive"
|
152 |
+
},
|
153 |
+
"blimp_irregular_past_participle_adjectives": {
|
154 |
+
"acc,none": 0.963,
|
155 |
+
"acc_stderr,none": 0.005972157622389619,
|
156 |
+
"alias": " - blimp_irregular_past_participle_adjectives"
|
157 |
+
},
|
158 |
+
"blimp_irregular_past_participle_verbs": {
|
159 |
+
"acc,none": 0.839,
|
160 |
+
"acc_stderr,none": 0.011628164696727191,
|
161 |
+
"alias": " - blimp_irregular_past_participle_verbs"
|
162 |
+
},
|
163 |
+
"blimp_irregular_plural_subject_verb_agreement_1": {
|
164 |
+
"acc,none": 0.883,
|
165 |
+
"acc_stderr,none": 0.010169287802713329,
|
166 |
+
"alias": " - blimp_irregular_plural_subject_verb_agreement_1"
|
167 |
+
},
|
168 |
+
"blimp_irregular_plural_subject_verb_agreement_2": {
|
169 |
+
"acc,none": 0.884,
|
170 |
+
"acc_stderr,none": 0.010131468138756986,
|
171 |
+
"alias": " - blimp_irregular_plural_subject_verb_agreement_2"
|
172 |
+
},
|
173 |
+
"blimp_left_branch_island_echo_question": {
|
174 |
+
"acc,none": 0.693,
|
175 |
+
"acc_stderr,none": 0.014593284892852632,
|
176 |
+
"alias": " - blimp_left_branch_island_echo_question"
|
177 |
+
},
|
178 |
+
"blimp_left_branch_island_simple_question": {
|
179 |
+
"acc,none": 0.856,
|
180 |
+
"acc_stderr,none": 0.01110798754893915,
|
181 |
+
"alias": " - blimp_left_branch_island_simple_question"
|
182 |
+
},
|
183 |
+
"blimp_matrix_question_npi_licensor_present": {
|
184 |
+
"acc,none": 0.304,
|
185 |
+
"acc_stderr,none": 0.014553205687950436,
|
186 |
+
"alias": " - blimp_matrix_question_npi_licensor_present"
|
187 |
+
},
|
188 |
+
"blimp_npi_present_1": {
|
189 |
+
"acc,none": 0.556,
|
190 |
+
"acc_stderr,none": 0.01571976816340209,
|
191 |
+
"alias": " - blimp_npi_present_1"
|
192 |
+
},
|
193 |
+
"blimp_npi_present_2": {
|
194 |
+
"acc,none": 0.532,
|
195 |
+
"acc_stderr,none": 0.01578686875935901,
|
196 |
+
"alias": " - blimp_npi_present_2"
|
197 |
+
},
|
198 |
+
"blimp_only_npi_licensor_present": {
|
199 |
+
"acc,none": 0.782,
|
200 |
+
"acc_stderr,none": 0.013063179040595299,
|
201 |
+
"alias": " - blimp_only_npi_licensor_present"
|
202 |
+
},
|
203 |
+
"blimp_only_npi_scope": {
|
204 |
+
"acc,none": 0.435,
|
205 |
+
"acc_stderr,none": 0.015685057252717204,
|
206 |
+
"alias": " - blimp_only_npi_scope"
|
207 |
+
},
|
208 |
+
"blimp_passive_1": {
|
209 |
+
"acc,none": 0.864,
|
210 |
+
"acc_stderr,none": 0.010845350230472986,
|
211 |
+
"alias": " - blimp_passive_1"
|
212 |
+
},
|
213 |
+
"blimp_passive_2": {
|
214 |
+
"acc,none": 0.896,
|
215 |
+
"acc_stderr,none": 0.009658016218524296,
|
216 |
+
"alias": " - blimp_passive_2"
|
217 |
+
},
|
218 |
+
"blimp_principle_A_c_command": {
|
219 |
+
"acc,none": 0.67,
|
220 |
+
"acc_stderr,none": 0.014876872027456738,
|
221 |
+
"alias": " - blimp_principle_A_c_command"
|
222 |
+
},
|
223 |
+
"blimp_principle_A_case_1": {
|
224 |
+
"acc,none": 0.999,
|
225 |
+
"acc_stderr,none": 0.001000000000000013,
|
226 |
+
"alias": " - blimp_principle_A_case_1"
|
227 |
+
},
|
228 |
+
"blimp_principle_A_case_2": {
|
229 |
+
"acc,none": 0.892,
|
230 |
+
"acc_stderr,none": 0.009820001651345688,
|
231 |
+
"alias": " - blimp_principle_A_case_2"
|
232 |
+
},
|
233 |
+
"blimp_principle_A_domain_1": {
|
234 |
+
"acc,none": 0.995,
|
235 |
+
"acc_stderr,none": 0.002231586874844885,
|
236 |
+
"alias": " - blimp_principle_A_domain_1"
|
237 |
+
},
|
238 |
+
"blimp_principle_A_domain_2": {
|
239 |
+
"acc,none": 0.807,
|
240 |
+
"acc_stderr,none": 0.012486268734370141,
|
241 |
+
"alias": " - blimp_principle_A_domain_2"
|
242 |
+
},
|
243 |
+
"blimp_principle_A_domain_3": {
|
244 |
+
"acc,none": 0.739,
|
245 |
+
"acc_stderr,none": 0.013895037677965126,
|
246 |
+
"alias": " - blimp_principle_A_domain_3"
|
247 |
+
},
|
248 |
+
"blimp_principle_A_reconstruction": {
|
249 |
+
"acc,none": 0.485,
|
250 |
+
"acc_stderr,none": 0.015812179641814892,
|
251 |
+
"alias": " - blimp_principle_A_reconstruction"
|
252 |
+
},
|
253 |
+
"blimp_regular_plural_subject_verb_agreement_1": {
|
254 |
+
"acc,none": 0.878,
|
255 |
+
"acc_stderr,none": 0.010354864712936706,
|
256 |
+
"alias": " - blimp_regular_plural_subject_verb_agreement_1"
|
257 |
+
},
|
258 |
+
"blimp_regular_plural_subject_verb_agreement_2": {
|
259 |
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|
1 |
+
{
|
2 |
+
"results": {
|
3 |
+
"ceval-valid": {
|
4 |
+
"acc,none": 0.27488855869242196,
|
5 |
+
"acc_stderr,none": 0.12108681009400432,
|
6 |
+
"acc_norm,none": 0.27488855869242196,
|
7 |
+
"acc_norm_stderr,none": 0.12108681009400432,
|
8 |
+
"alias": "ceval-valid"
|
9 |
+
},
|
10 |
+
"ceval-valid_accountant": {
|
11 |
+
"acc,none": 0.30612244897959184,
|
12 |
+
"acc_stderr,none": 0.06652247352247599,
|
13 |
+
"acc_norm,none": 0.30612244897959184,
|
14 |
+
"acc_norm_stderr,none": 0.06652247352247599,
|
15 |
+
"alias": " - ceval-valid_accountant"
|
16 |
+
},
|
17 |
+
"ceval-valid_advanced_mathematics": {
|
18 |
+
"acc,none": 0.2631578947368421,
|
19 |
+
"acc_stderr,none": 0.10379087338771256,
|
20 |
+
"acc_norm,none": 0.2631578947368421,
|
21 |
+
"acc_norm_stderr,none": 0.10379087338771256,
|
22 |
+
"alias": " - ceval-valid_advanced_mathematics"
|
23 |
+
},
|
24 |
+
"ceval-valid_art_studies": {
|
25 |
+
"acc,none": 0.21212121212121213,
|
26 |
+
"acc_stderr,none": 0.07226812131946557,
|
27 |
+
"acc_norm,none": 0.21212121212121213,
|
28 |
+
"acc_norm_stderr,none": 0.07226812131946557,
|
29 |
+
"alias": " - ceval-valid_art_studies"
|
30 |
+
},
|
31 |
+
"ceval-valid_basic_medicine": {
|
32 |
+
"acc,none": 0.42105263157894735,
|
33 |
+
"acc_stderr,none": 0.11637279966159299,
|
34 |
+
"acc_norm,none": 0.42105263157894735,
|
35 |
+
"acc_norm_stderr,none": 0.11637279966159299,
|
36 |
+
"alias": " - ceval-valid_basic_medicine"
|
37 |
+
},
|
38 |
+
"ceval-valid_business_administration": {
|
39 |
+
"acc,none": 0.15151515151515152,
|
40 |
+
"acc_stderr,none": 0.06338333534349055,
|
41 |
+
"acc_norm,none": 0.15151515151515152,
|
42 |
+
"acc_norm_stderr,none": 0.06338333534349055,
|
43 |
+
"alias": " - ceval-valid_business_administration"
|
44 |
+
},
|
45 |
+
"ceval-valid_chinese_language_and_literature": {
|
46 |
+
"acc,none": 0.34782608695652173,
|
47 |
+
"acc_stderr,none": 0.10154334054280735,
|
48 |
+
"acc_norm,none": 0.34782608695652173,
|
49 |
+
"acc_norm_stderr,none": 0.10154334054280735,
|
50 |
+
"alias": " - ceval-valid_chinese_language_and_literature"
|
51 |
+
},
|
52 |
+
"ceval-valid_civil_servant": {
|
53 |
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"acc,none": 0.2978723404255319,
|
54 |
+
"acc_stderr,none": 0.06742861107915606,
|
55 |
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"acc_norm,none": 0.2978723404255319,
|
56 |
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"acc_norm_stderr,none": 0.06742861107915606,
|
57 |
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"alias": " - ceval-valid_civil_servant"
|
58 |
+
},
|
59 |
+
"ceval-valid_clinical_medicine": {
|
60 |
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"acc,none": 0.36363636363636365,
|
61 |
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|
62 |
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"acc_norm,none": 0.36363636363636365,
|
63 |
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"acc_norm_stderr,none": 0.10497277621629558,
|
64 |
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"alias": " - ceval-valid_clinical_medicine"
|
65 |
+
},
|
66 |
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"ceval-valid_college_chemistry": {
|
67 |
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"acc,none": 0.25,
|
68 |
+
"acc_stderr,none": 0.09028938981432691,
|
69 |
+
"acc_norm,none": 0.25,
|
70 |
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"acc_norm_stderr,none": 0.09028938981432691,
|
71 |
+
"alias": " - ceval-valid_college_chemistry"
|
72 |
+
},
|
73 |
+
"ceval-valid_college_economics": {
|
74 |
+
"acc,none": 0.2,
|
75 |
+
"acc_stderr,none": 0.05443310539518172,
|
76 |
+
"acc_norm,none": 0.2,
|
77 |
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"acc_norm_stderr,none": 0.05443310539518172,
|
78 |
+
"alias": " - ceval-valid_college_economics"
|
79 |
+
},
|
80 |
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"ceval-valid_college_physics": {
|
81 |
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"acc,none": 0.05263157894736842,
|
82 |
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"acc_stderr,none": 0.052631578947368404,
|
83 |
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"acc_norm,none": 0.05263157894736842,
|
84 |
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"acc_norm_stderr,none": 0.052631578947368404,
|
85 |
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"alias": " - ceval-valid_college_physics"
|
86 |
+
},
|
87 |
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"ceval-valid_college_programming": {
|
88 |
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"acc,none": 0.32432432432432434,
|
89 |
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"acc_stderr,none": 0.07802030664724673,
|
90 |
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"acc_norm,none": 0.32432432432432434,
|
91 |
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"acc_norm_stderr,none": 0.07802030664724673,
|
92 |
+
"alias": " - ceval-valid_college_programming"
|
93 |
+
},
|
94 |
+
"ceval-valid_computer_architecture": {
|
95 |
+
"acc,none": 0.19047619047619047,
|
96 |
+
"acc_stderr,none": 0.08780518530755135,
|
97 |
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"acc_norm,none": 0.19047619047619047,
|
98 |
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"acc_norm_stderr,none": 0.08780518530755135,
|
99 |
+
"alias": " - ceval-valid_computer_architecture"
|
100 |
+
},
|
101 |
+
"ceval-valid_computer_network": {
|
102 |
+
"acc,none": 0.21052631578947367,
|
103 |
+
"acc_stderr,none": 0.0960916767552923,
|
104 |
+
"acc_norm,none": 0.21052631578947367,
|
105 |
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394 |
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395 |
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396 |
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397 |
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398 |
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399 |
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],
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400 |
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"description": "以下是中国关于注册会计师的单项选择题,请选出其中的正确答案。\n\n",
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401 |
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408 |
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411 |
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412 |
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416 |
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428 |
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432 |
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"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
433 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
434 |
+
"doc_to_choice": [
|
435 |
+
"A",
|
436 |
+
"B",
|
437 |
+
"C",
|
438 |
+
"D"
|
439 |
+
],
|
440 |
+
"description": "以下是中国关于高等数学的单项选择题,请选出其中的正确答案。\n\n",
|
441 |
+
"target_delimiter": " ",
|
442 |
+
"fewshot_delimiter": "\n\n",
|
443 |
+
"fewshot_config": {
|
444 |
+
"sampler": "first_n"
|
445 |
+
},
|
446 |
+
"metric_list": [
|
447 |
+
{
|
448 |
+
"metric": "acc",
|
449 |
+
"aggregation": "mean",
|
450 |
+
"higher_is_better": true
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"metric": "acc_norm",
|
454 |
+
"aggregation": "mean",
|
455 |
+
"higher_is_better": true
|
456 |
+
}
|
457 |
+
],
|
458 |
+
"output_type": "multiple_choice",
|
459 |
+
"repeats": 1,
|
460 |
+
"should_decontaminate": false,
|
461 |
+
"metadata": {
|
462 |
+
"version": 1.0
|
463 |
+
}
|
464 |
+
},
|
465 |
+
"ceval-valid_art_studies": {
|
466 |
+
"task": "ceval-valid_art_studies",
|
467 |
+
"group": "ceval-valid",
|
468 |
+
"dataset_path": "ceval/ceval-exam",
|
469 |
+
"dataset_name": "art_studies",
|
470 |
+
"validation_split": "val",
|
471 |
+
"fewshot_split": "dev",
|
472 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
473 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
474 |
+
"doc_to_choice": [
|
475 |
+
"A",
|
476 |
+
"B",
|
477 |
+
"C",
|
478 |
+
"D"
|
479 |
+
],
|
480 |
+
"description": "以下是中国关于艺术学的单项选择题,请选出其中的正确答案。\n\n",
|
481 |
+
"target_delimiter": " ",
|
482 |
+
"fewshot_delimiter": "\n\n",
|
483 |
+
"fewshot_config": {
|
484 |
+
"sampler": "first_n"
|
485 |
+
},
|
486 |
+
"metric_list": [
|
487 |
+
{
|
488 |
+
"metric": "acc",
|
489 |
+
"aggregation": "mean",
|
490 |
+
"higher_is_better": true
|
491 |
+
},
|
492 |
+
{
|
493 |
+
"metric": "acc_norm",
|
494 |
+
"aggregation": "mean",
|
495 |
+
"higher_is_better": true
|
496 |
+
}
|
497 |
+
],
|
498 |
+
"output_type": "multiple_choice",
|
499 |
+
"repeats": 1,
|
500 |
+
"should_decontaminate": false,
|
501 |
+
"metadata": {
|
502 |
+
"version": 1.0
|
503 |
+
}
|
504 |
+
},
|
505 |
+
"ceval-valid_basic_medicine": {
|
506 |
+
"task": "ceval-valid_basic_medicine",
|
507 |
+
"group": "ceval-valid",
|
508 |
+
"dataset_path": "ceval/ceval-exam",
|
509 |
+
"dataset_name": "basic_medicine",
|
510 |
+
"validation_split": "val",
|
511 |
+
"fewshot_split": "dev",
|
512 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
513 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
514 |
+
"doc_to_choice": [
|
515 |
+
"A",
|
516 |
+
"B",
|
517 |
+
"C",
|
518 |
+
"D"
|
519 |
+
],
|
520 |
+
"description": "以下是中国关于基础医学的单项选择题,请选出其中的正确答案。\n\n",
|
521 |
+
"target_delimiter": " ",
|
522 |
+
"fewshot_delimiter": "\n\n",
|
523 |
+
"fewshot_config": {
|
524 |
+
"sampler": "first_n"
|
525 |
+
},
|
526 |
+
"metric_list": [
|
527 |
+
{
|
528 |
+
"metric": "acc",
|
529 |
+
"aggregation": "mean",
|
530 |
+
"higher_is_better": true
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"metric": "acc_norm",
|
534 |
+
"aggregation": "mean",
|
535 |
+
"higher_is_better": true
|
536 |
+
}
|
537 |
+
],
|
538 |
+
"output_type": "multiple_choice",
|
539 |
+
"repeats": 1,
|
540 |
+
"should_decontaminate": false,
|
541 |
+
"metadata": {
|
542 |
+
"version": 1.0
|
543 |
+
}
|
544 |
+
},
|
545 |
+
"ceval-valid_business_administration": {
|
546 |
+
"task": "ceval-valid_business_administration",
|
547 |
+
"group": "ceval-valid",
|
548 |
+
"dataset_path": "ceval/ceval-exam",
|
549 |
+
"dataset_name": "business_administration",
|
550 |
+
"validation_split": "val",
|
551 |
+
"fewshot_split": "dev",
|
552 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
553 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
554 |
+
"doc_to_choice": [
|
555 |
+
"A",
|
556 |
+
"B",
|
557 |
+
"C",
|
558 |
+
"D"
|
559 |
+
],
|
560 |
+
"description": "以下是中国关于工商管理的单项选择题,请选出其中的正确答案。\n\n",
|
561 |
+
"target_delimiter": " ",
|
562 |
+
"fewshot_delimiter": "\n\n",
|
563 |
+
"fewshot_config": {
|
564 |
+
"sampler": "first_n"
|
565 |
+
},
|
566 |
+
"metric_list": [
|
567 |
+
{
|
568 |
+
"metric": "acc",
|
569 |
+
"aggregation": "mean",
|
570 |
+
"higher_is_better": true
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"metric": "acc_norm",
|
574 |
+
"aggregation": "mean",
|
575 |
+
"higher_is_better": true
|
576 |
+
}
|
577 |
+
],
|
578 |
+
"output_type": "multiple_choice",
|
579 |
+
"repeats": 1,
|
580 |
+
"should_decontaminate": false,
|
581 |
+
"metadata": {
|
582 |
+
"version": 1.0
|
583 |
+
}
|
584 |
+
},
|
585 |
+
"ceval-valid_chinese_language_and_literature": {
|
586 |
+
"task": "ceval-valid_chinese_language_and_literature",
|
587 |
+
"group": "ceval-valid",
|
588 |
+
"dataset_path": "ceval/ceval-exam",
|
589 |
+
"dataset_name": "chinese_language_and_literature",
|
590 |
+
"validation_split": "val",
|
591 |
+
"fewshot_split": "dev",
|
592 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
593 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
594 |
+
"doc_to_choice": [
|
595 |
+
"A",
|
596 |
+
"B",
|
597 |
+
"C",
|
598 |
+
"D"
|
599 |
+
],
|
600 |
+
"description": "以下是中国关于中国语言文学的单项选择题,请选出其中的正确答案。\n\n",
|
601 |
+
"target_delimiter": " ",
|
602 |
+
"fewshot_delimiter": "\n\n",
|
603 |
+
"fewshot_config": {
|
604 |
+
"sampler": "first_n"
|
605 |
+
},
|
606 |
+
"metric_list": [
|
607 |
+
{
|
608 |
+
"metric": "acc",
|
609 |
+
"aggregation": "mean",
|
610 |
+
"higher_is_better": true
|
611 |
+
},
|
612 |
+
{
|
613 |
+
"metric": "acc_norm",
|
614 |
+
"aggregation": "mean",
|
615 |
+
"higher_is_better": true
|
616 |
+
}
|
617 |
+
],
|
618 |
+
"output_type": "multiple_choice",
|
619 |
+
"repeats": 1,
|
620 |
+
"should_decontaminate": false,
|
621 |
+
"metadata": {
|
622 |
+
"version": 1.0
|
623 |
+
}
|
624 |
+
},
|
625 |
+
"ceval-valid_civil_servant": {
|
626 |
+
"task": "ceval-valid_civil_servant",
|
627 |
+
"group": "ceval-valid",
|
628 |
+
"dataset_path": "ceval/ceval-exam",
|
629 |
+
"dataset_name": "civil_servant",
|
630 |
+
"validation_split": "val",
|
631 |
+
"fewshot_split": "dev",
|
632 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
633 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
634 |
+
"doc_to_choice": [
|
635 |
+
"A",
|
636 |
+
"B",
|
637 |
+
"C",
|
638 |
+
"D"
|
639 |
+
],
|
640 |
+
"description": "以下是中国关于公务员的单项选择题,请选出其中的正确答案。\n\n",
|
641 |
+
"target_delimiter": " ",
|
642 |
+
"fewshot_delimiter": "\n\n",
|
643 |
+
"fewshot_config": {
|
644 |
+
"sampler": "first_n"
|
645 |
+
},
|
646 |
+
"metric_list": [
|
647 |
+
{
|
648 |
+
"metric": "acc",
|
649 |
+
"aggregation": "mean",
|
650 |
+
"higher_is_better": true
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"metric": "acc_norm",
|
654 |
+
"aggregation": "mean",
|
655 |
+
"higher_is_better": true
|
656 |
+
}
|
657 |
+
],
|
658 |
+
"output_type": "multiple_choice",
|
659 |
+
"repeats": 1,
|
660 |
+
"should_decontaminate": false,
|
661 |
+
"metadata": {
|
662 |
+
"version": 1.0
|
663 |
+
}
|
664 |
+
},
|
665 |
+
"ceval-valid_clinical_medicine": {
|
666 |
+
"task": "ceval-valid_clinical_medicine",
|
667 |
+
"group": "ceval-valid",
|
668 |
+
"dataset_path": "ceval/ceval-exam",
|
669 |
+
"dataset_name": "clinical_medicine",
|
670 |
+
"validation_split": "val",
|
671 |
+
"fewshot_split": "dev",
|
672 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
673 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
674 |
+
"doc_to_choice": [
|
675 |
+
"A",
|
676 |
+
"B",
|
677 |
+
"C",
|
678 |
+
"D"
|
679 |
+
],
|
680 |
+
"description": "以下是中国关于临床医学的单项选择题,请选出其中的正确答案。\n\n",
|
681 |
+
"target_delimiter": " ",
|
682 |
+
"fewshot_delimiter": "\n\n",
|
683 |
+
"fewshot_config": {
|
684 |
+
"sampler": "first_n"
|
685 |
+
},
|
686 |
+
"metric_list": [
|
687 |
+
{
|
688 |
+
"metric": "acc",
|
689 |
+
"aggregation": "mean",
|
690 |
+
"higher_is_better": true
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"metric": "acc_norm",
|
694 |
+
"aggregation": "mean",
|
695 |
+
"higher_is_better": true
|
696 |
+
}
|
697 |
+
],
|
698 |
+
"output_type": "multiple_choice",
|
699 |
+
"repeats": 1,
|
700 |
+
"should_decontaminate": false,
|
701 |
+
"metadata": {
|
702 |
+
"version": 1.0
|
703 |
+
}
|
704 |
+
},
|
705 |
+
"ceval-valid_college_chemistry": {
|
706 |
+
"task": "ceval-valid_college_chemistry",
|
707 |
+
"group": "ceval-valid",
|
708 |
+
"dataset_path": "ceval/ceval-exam",
|
709 |
+
"dataset_name": "college_chemistry",
|
710 |
+
"validation_split": "val",
|
711 |
+
"fewshot_split": "dev",
|
712 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
713 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
714 |
+
"doc_to_choice": [
|
715 |
+
"A",
|
716 |
+
"B",
|
717 |
+
"C",
|
718 |
+
"D"
|
719 |
+
],
|
720 |
+
"description": "以下是中国关于大学化学的单项选择题,请选出其中的正确答案。\n\n",
|
721 |
+
"target_delimiter": " ",
|
722 |
+
"fewshot_delimiter": "\n\n",
|
723 |
+
"fewshot_config": {
|
724 |
+
"sampler": "first_n"
|
725 |
+
},
|
726 |
+
"metric_list": [
|
727 |
+
{
|
728 |
+
"metric": "acc",
|
729 |
+
"aggregation": "mean",
|
730 |
+
"higher_is_better": true
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"metric": "acc_norm",
|
734 |
+
"aggregation": "mean",
|
735 |
+
"higher_is_better": true
|
736 |
+
}
|
737 |
+
],
|
738 |
+
"output_type": "multiple_choice",
|
739 |
+
"repeats": 1,
|
740 |
+
"should_decontaminate": false,
|
741 |
+
"metadata": {
|
742 |
+
"version": 1.0
|
743 |
+
}
|
744 |
+
},
|
745 |
+
"ceval-valid_college_economics": {
|
746 |
+
"task": "ceval-valid_college_economics",
|
747 |
+
"group": "ceval-valid",
|
748 |
+
"dataset_path": "ceval/ceval-exam",
|
749 |
+
"dataset_name": "college_economics",
|
750 |
+
"validation_split": "val",
|
751 |
+
"fewshot_split": "dev",
|
752 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
753 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
754 |
+
"doc_to_choice": [
|
755 |
+
"A",
|
756 |
+
"B",
|
757 |
+
"C",
|
758 |
+
"D"
|
759 |
+
],
|
760 |
+
"description": "以下是中国关于大学经济学的单项选择题,请选出其中的正确答案。\n\n",
|
761 |
+
"target_delimiter": " ",
|
762 |
+
"fewshot_delimiter": "\n\n",
|
763 |
+
"fewshot_config": {
|
764 |
+
"sampler": "first_n"
|
765 |
+
},
|
766 |
+
"metric_list": [
|
767 |
+
{
|
768 |
+
"metric": "acc",
|
769 |
+
"aggregation": "mean",
|
770 |
+
"higher_is_better": true
|
771 |
+
},
|
772 |
+
{
|
773 |
+
"metric": "acc_norm",
|
774 |
+
"aggregation": "mean",
|
775 |
+
"higher_is_better": true
|
776 |
+
}
|
777 |
+
],
|
778 |
+
"output_type": "multiple_choice",
|
779 |
+
"repeats": 1,
|
780 |
+
"should_decontaminate": false,
|
781 |
+
"metadata": {
|
782 |
+
"version": 1.0
|
783 |
+
}
|
784 |
+
},
|
785 |
+
"ceval-valid_college_physics": {
|
786 |
+
"task": "ceval-valid_college_physics",
|
787 |
+
"group": "ceval-valid",
|
788 |
+
"dataset_path": "ceval/ceval-exam",
|
789 |
+
"dataset_name": "college_physics",
|
790 |
+
"validation_split": "val",
|
791 |
+
"fewshot_split": "dev",
|
792 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
793 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
794 |
+
"doc_to_choice": [
|
795 |
+
"A",
|
796 |
+
"B",
|
797 |
+
"C",
|
798 |
+
"D"
|
799 |
+
],
|
800 |
+
"description": "以下是中国关于大学物理的单项选择题,请选出其中的正确答案。\n\n",
|
801 |
+
"target_delimiter": " ",
|
802 |
+
"fewshot_delimiter": "\n\n",
|
803 |
+
"fewshot_config": {
|
804 |
+
"sampler": "first_n"
|
805 |
+
},
|
806 |
+
"metric_list": [
|
807 |
+
{
|
808 |
+
"metric": "acc",
|
809 |
+
"aggregation": "mean",
|
810 |
+
"higher_is_better": true
|
811 |
+
},
|
812 |
+
{
|
813 |
+
"metric": "acc_norm",
|
814 |
+
"aggregation": "mean",
|
815 |
+
"higher_is_better": true
|
816 |
+
}
|
817 |
+
],
|
818 |
+
"output_type": "multiple_choice",
|
819 |
+
"repeats": 1,
|
820 |
+
"should_decontaminate": false,
|
821 |
+
"metadata": {
|
822 |
+
"version": 1.0
|
823 |
+
}
|
824 |
+
},
|
825 |
+
"ceval-valid_college_programming": {
|
826 |
+
"task": "ceval-valid_college_programming",
|
827 |
+
"group": "ceval-valid",
|
828 |
+
"dataset_path": "ceval/ceval-exam",
|
829 |
+
"dataset_name": "college_programming",
|
830 |
+
"validation_split": "val",
|
831 |
+
"fewshot_split": "dev",
|
832 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
833 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
834 |
+
"doc_to_choice": [
|
835 |
+
"A",
|
836 |
+
"B",
|
837 |
+
"C",
|
838 |
+
"D"
|
839 |
+
],
|
840 |
+
"description": "以下是中国关于大学编程的单项选择题,请选出其中的正确答案。\n\n",
|
841 |
+
"target_delimiter": " ",
|
842 |
+
"fewshot_delimiter": "\n\n",
|
843 |
+
"fewshot_config": {
|
844 |
+
"sampler": "first_n"
|
845 |
+
},
|
846 |
+
"metric_list": [
|
847 |
+
{
|
848 |
+
"metric": "acc",
|
849 |
+
"aggregation": "mean",
|
850 |
+
"higher_is_better": true
|
851 |
+
},
|
852 |
+
{
|
853 |
+
"metric": "acc_norm",
|
854 |
+
"aggregation": "mean",
|
855 |
+
"higher_is_better": true
|
856 |
+
}
|
857 |
+
],
|
858 |
+
"output_type": "multiple_choice",
|
859 |
+
"repeats": 1,
|
860 |
+
"should_decontaminate": false,
|
861 |
+
"metadata": {
|
862 |
+
"version": 1.0
|
863 |
+
}
|
864 |
+
},
|
865 |
+
"ceval-valid_computer_architecture": {
|
866 |
+
"task": "ceval-valid_computer_architecture",
|
867 |
+
"group": "ceval-valid",
|
868 |
+
"dataset_path": "ceval/ceval-exam",
|
869 |
+
"dataset_name": "computer_architecture",
|
870 |
+
"validation_split": "val",
|
871 |
+
"fewshot_split": "dev",
|
872 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
873 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
874 |
+
"doc_to_choice": [
|
875 |
+
"A",
|
876 |
+
"B",
|
877 |
+
"C",
|
878 |
+
"D"
|
879 |
+
],
|
880 |
+
"description": "以下是中国关于计算机组成的单项选择题,请选出其中的正确答案。\n\n",
|
881 |
+
"target_delimiter": " ",
|
882 |
+
"fewshot_delimiter": "\n\n",
|
883 |
+
"fewshot_config": {
|
884 |
+
"sampler": "first_n"
|
885 |
+
},
|
886 |
+
"metric_list": [
|
887 |
+
{
|
888 |
+
"metric": "acc",
|
889 |
+
"aggregation": "mean",
|
890 |
+
"higher_is_better": true
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"metric": "acc_norm",
|
894 |
+
"aggregation": "mean",
|
895 |
+
"higher_is_better": true
|
896 |
+
}
|
897 |
+
],
|
898 |
+
"output_type": "multiple_choice",
|
899 |
+
"repeats": 1,
|
900 |
+
"should_decontaminate": false,
|
901 |
+
"metadata": {
|
902 |
+
"version": 1.0
|
903 |
+
}
|
904 |
+
},
|
905 |
+
"ceval-valid_computer_network": {
|
906 |
+
"task": "ceval-valid_computer_network",
|
907 |
+
"group": "ceval-valid",
|
908 |
+
"dataset_path": "ceval/ceval-exam",
|
909 |
+
"dataset_name": "computer_network",
|
910 |
+
"validation_split": "val",
|
911 |
+
"fewshot_split": "dev",
|
912 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
913 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
914 |
+
"doc_to_choice": [
|
915 |
+
"A",
|
916 |
+
"B",
|
917 |
+
"C",
|
918 |
+
"D"
|
919 |
+
],
|
920 |
+
"description": "以下是中国关于计算机网络的单项选择题,请选出其中的正确答案。\n\n",
|
921 |
+
"target_delimiter": " ",
|
922 |
+
"fewshot_delimiter": "\n\n",
|
923 |
+
"fewshot_config": {
|
924 |
+
"sampler": "first_n"
|
925 |
+
},
|
926 |
+
"metric_list": [
|
927 |
+
{
|
928 |
+
"metric": "acc",
|
929 |
+
"aggregation": "mean",
|
930 |
+
"higher_is_better": true
|
931 |
+
},
|
932 |
+
{
|
933 |
+
"metric": "acc_norm",
|
934 |
+
"aggregation": "mean",
|
935 |
+
"higher_is_better": true
|
936 |
+
}
|
937 |
+
],
|
938 |
+
"output_type": "multiple_choice",
|
939 |
+
"repeats": 1,
|
940 |
+
"should_decontaminate": false,
|
941 |
+
"metadata": {
|
942 |
+
"version": 1.0
|
943 |
+
}
|
944 |
+
},
|
945 |
+
"ceval-valid_discrete_mathematics": {
|
946 |
+
"task": "ceval-valid_discrete_mathematics",
|
947 |
+
"group": "ceval-valid",
|
948 |
+
"dataset_path": "ceval/ceval-exam",
|
949 |
+
"dataset_name": "discrete_mathematics",
|
950 |
+
"validation_split": "val",
|
951 |
+
"fewshot_split": "dev",
|
952 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
953 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
954 |
+
"doc_to_choice": [
|
955 |
+
"A",
|
956 |
+
"B",
|
957 |
+
"C",
|
958 |
+
"D"
|
959 |
+
],
|
960 |
+
"description": "以下是中国关于离散数学的单项选择题,请选出其中的正确答案。\n\n",
|
961 |
+
"target_delimiter": " ",
|
962 |
+
"fewshot_delimiter": "\n\n",
|
963 |
+
"fewshot_config": {
|
964 |
+
"sampler": "first_n"
|
965 |
+
},
|
966 |
+
"metric_list": [
|
967 |
+
{
|
968 |
+
"metric": "acc",
|
969 |
+
"aggregation": "mean",
|
970 |
+
"higher_is_better": true
|
971 |
+
},
|
972 |
+
{
|
973 |
+
"metric": "acc_norm",
|
974 |
+
"aggregation": "mean",
|
975 |
+
"higher_is_better": true
|
976 |
+
}
|
977 |
+
],
|
978 |
+
"output_type": "multiple_choice",
|
979 |
+
"repeats": 1,
|
980 |
+
"should_decontaminate": false,
|
981 |
+
"metadata": {
|
982 |
+
"version": 1.0
|
983 |
+
}
|
984 |
+
},
|
985 |
+
"ceval-valid_education_science": {
|
986 |
+
"task": "ceval-valid_education_science",
|
987 |
+
"group": "ceval-valid",
|
988 |
+
"dataset_path": "ceval/ceval-exam",
|
989 |
+
"dataset_name": "education_science",
|
990 |
+
"validation_split": "val",
|
991 |
+
"fewshot_split": "dev",
|
992 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
993 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
994 |
+
"doc_to_choice": [
|
995 |
+
"A",
|
996 |
+
"B",
|
997 |
+
"C",
|
998 |
+
"D"
|
999 |
+
],
|
1000 |
+
"description": "以下是中国关于教育学的单项选择题,请选出其中的正确答案。\n\n",
|
1001 |
+
"target_delimiter": " ",
|
1002 |
+
"fewshot_delimiter": "\n\n",
|
1003 |
+
"fewshot_config": {
|
1004 |
+
"sampler": "first_n"
|
1005 |
+
},
|
1006 |
+
"metric_list": [
|
1007 |
+
{
|
1008 |
+
"metric": "acc",
|
1009 |
+
"aggregation": "mean",
|
1010 |
+
"higher_is_better": true
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"metric": "acc_norm",
|
1014 |
+
"aggregation": "mean",
|
1015 |
+
"higher_is_better": true
|
1016 |
+
}
|
1017 |
+
],
|
1018 |
+
"output_type": "multiple_choice",
|
1019 |
+
"repeats": 1,
|
1020 |
+
"should_decontaminate": false,
|
1021 |
+
"metadata": {
|
1022 |
+
"version": 1.0
|
1023 |
+
}
|
1024 |
+
},
|
1025 |
+
"ceval-valid_electrical_engineer": {
|
1026 |
+
"task": "ceval-valid_electrical_engineer",
|
1027 |
+
"group": "ceval-valid",
|
1028 |
+
"dataset_path": "ceval/ceval-exam",
|
1029 |
+
"dataset_name": "electrical_engineer",
|
1030 |
+
"validation_split": "val",
|
1031 |
+
"fewshot_split": "dev",
|
1032 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
1033 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
1034 |
+
"doc_to_choice": [
|
1035 |
+
"A",
|
1036 |
+
"B",
|
1037 |
+
"C",
|
1038 |
+
"D"
|
1039 |
+
],
|
1040 |
+
"description": "以下是中国关于注册电气工程师的单项选择题,请选出其中的正确答案。\n\n",
|
1041 |
+
"target_delimiter": " ",
|
1042 |
+
"fewshot_delimiter": "\n\n",
|
1043 |
+
"fewshot_config": {
|
1044 |
+
"sampler": "first_n"
|
1045 |
+
},
|
1046 |
+
"metric_list": [
|
1047 |
+
{
|
1048 |
+
"metric": "acc",
|
1049 |
+
"aggregation": "mean",
|
1050 |
+
"higher_is_better": true
|
1051 |
+
},
|
1052 |
+
{
|
1053 |
+
"metric": "acc_norm",
|
1054 |
+
"aggregation": "mean",
|
1055 |
+
"higher_is_better": true
|
1056 |
+
}
|
1057 |
+
],
|
1058 |
+
"output_type": "multiple_choice",
|
1059 |
+
"repeats": 1,
|
1060 |
+
"should_decontaminate": false,
|
1061 |
+
"metadata": {
|
1062 |
+
"version": 1.0
|
1063 |
+
}
|
1064 |
+
},
|
1065 |
+
"ceval-valid_environmental_impact_assessment_engineer": {
|
1066 |
+
"task": "ceval-valid_environmental_impact_assessment_engineer",
|
1067 |
+
"group": "ceval-valid",
|
1068 |
+
"dataset_path": "ceval/ceval-exam",
|
1069 |
+
"dataset_name": "environmental_impact_assessment_engineer",
|
1070 |
+
"validation_split": "val",
|
1071 |
+
"fewshot_split": "dev",
|
1072 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
1073 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
1074 |
+
"doc_to_choice": [
|
1075 |
+
"A",
|
1076 |
+
"B",
|
1077 |
+
"C",
|
1078 |
+
"D"
|
1079 |
+
],
|
1080 |
+
"description": "以下是中国关于环境影响评价工程师的单项选择题,请选出其中的正确答案。\n\n",
|
1081 |
+
"target_delimiter": " ",
|
1082 |
+
"fewshot_delimiter": "\n\n",
|
1083 |
+
"fewshot_config": {
|
1084 |
+
"sampler": "first_n"
|
1085 |
+
},
|
1086 |
+
"metric_list": [
|
1087 |
+
{
|
1088 |
+
"metric": "acc",
|
1089 |
+
"aggregation": "mean",
|
1090 |
+
"higher_is_better": true
|
1091 |
+
},
|
1092 |
+
{
|
1093 |
+
"metric": "acc_norm",
|
1094 |
+
"aggregation": "mean",
|
1095 |
+
"higher_is_better": true
|
1096 |
+
}
|
1097 |
+
],
|
1098 |
+
"output_type": "multiple_choice",
|
1099 |
+
"repeats": 1,
|
1100 |
+
"should_decontaminate": false,
|
1101 |
+
"metadata": {
|
1102 |
+
"version": 1.0
|
1103 |
+
}
|
1104 |
+
},
|
1105 |
+
"ceval-valid_fire_engineer": {
|
1106 |
+
"task": "ceval-valid_fire_engineer",
|
1107 |
+
"group": "ceval-valid",
|
1108 |
+
"dataset_path": "ceval/ceval-exam",
|
1109 |
+
"dataset_name": "fire_engineer",
|
1110 |
+
"validation_split": "val",
|
1111 |
+
"fewshot_split": "dev",
|
1112 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
1113 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
1114 |
+
"doc_to_choice": [
|
1115 |
+
"A",
|
1116 |
+
"B",
|
1117 |
+
"C",
|
1118 |
+
"D"
|
1119 |
+
],
|
1120 |
+
"description": "以下是中国关于注册消防工程师的单项选择题,请选出其中的正确答案。\n\n",
|
1121 |
+
"target_delimiter": " ",
|
1122 |
+
"fewshot_delimiter": "\n\n",
|
1123 |
+
"fewshot_config": {
|
1124 |
+
"sampler": "first_n"
|
1125 |
+
},
|
1126 |
+
"metric_list": [
|
1127 |
+
{
|
1128 |
+
"metric": "acc",
|
1129 |
+
"aggregation": "mean",
|
1130 |
+
"higher_is_better": true
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"metric": "acc_norm",
|
1134 |
+
"aggregation": "mean",
|
1135 |
+
"higher_is_better": true
|
1136 |
+
}
|
1137 |
+
],
|
1138 |
+
"output_type": "multiple_choice",
|
1139 |
+
"repeats": 1,
|
1140 |
+
"should_decontaminate": false,
|
1141 |
+
"metadata": {
|
1142 |
+
"version": 1.0
|
1143 |
+
}
|
1144 |
+
},
|
1145 |
+
"ceval-valid_high_school_biology": {
|
1146 |
+
"task": "ceval-valid_high_school_biology",
|
1147 |
+
"group": "ceval-valid",
|
1148 |
+
"dataset_path": "ceval/ceval-exam",
|
1149 |
+
"dataset_name": "high_school_biology",
|
1150 |
+
"validation_split": "val",
|
1151 |
+
"fewshot_split": "dev",
|
1152 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
1153 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
1154 |
+
"doc_to_choice": [
|
1155 |
+
"A",
|
1156 |
+
"B",
|
1157 |
+
"C",
|
1158 |
+
"D"
|
1159 |
+
],
|
1160 |
+
"description": "以下是中国关于高中生物的单项选择题,请选出其中的正确答案。\n\n",
|
1161 |
+
"target_delimiter": " ",
|
1162 |
+
"fewshot_delimiter": "\n\n",
|
1163 |
+
"fewshot_config": {
|
1164 |
+
"sampler": "first_n"
|
1165 |
+
},
|
1166 |
+
"metric_list": [
|
1167 |
+
{
|
1168 |
+
"metric": "acc",
|
1169 |
+
"aggregation": "mean",
|
1170 |
+
"higher_is_better": true
|
1171 |
+
},
|
1172 |
+
{
|
1173 |
+
"metric": "acc_norm",
|
1174 |
+
"aggregation": "mean",
|
1175 |
+
"higher_is_better": true
|
1176 |
+
}
|
1177 |
+
],
|
1178 |
+
"output_type": "multiple_choice",
|
1179 |
+
"repeats": 1,
|
1180 |
+
"should_decontaminate": false,
|
1181 |
+
"metadata": {
|
1182 |
+
"version": 1.0
|
1183 |
+
}
|
1184 |
+
},
|
1185 |
+
"ceval-valid_high_school_chemistry": {
|
1186 |
+
"task": "ceval-valid_high_school_chemistry",
|
1187 |
+
"group": "ceval-valid",
|
1188 |
+
"dataset_path": "ceval/ceval-exam",
|
1189 |
+
"dataset_name": "high_school_chemistry",
|
1190 |
+
"validation_split": "val",
|
1191 |
+
"fewshot_split": "dev",
|
1192 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
1193 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
1194 |
+
"doc_to_choice": [
|
1195 |
+
"A",
|
1196 |
+
"B",
|
1197 |
+
"C",
|
1198 |
+
"D"
|
1199 |
+
],
|
1200 |
+
"description": "以下是中国关于高中化学的单项选择题,请选出其中的正确答案。\n\n",
|
1201 |
+
"target_delimiter": " ",
|
1202 |
+
"fewshot_delimiter": "\n\n",
|
1203 |
+
"fewshot_config": {
|
1204 |
+
"sampler": "first_n"
|
1205 |
+
},
|
1206 |
+
"metric_list": [
|
1207 |
+
{
|
1208 |
+
"metric": "acc",
|
1209 |
+
"aggregation": "mean",
|
1210 |
+
"higher_is_better": true
|
1211 |
+
},
|
1212 |
+
{
|
1213 |
+
"metric": "acc_norm",
|
1214 |
+
"aggregation": "mean",
|
1215 |
+
"higher_is_better": true
|
1216 |
+
}
|
1217 |
+
],
|
1218 |
+
"output_type": "multiple_choice",
|
1219 |
+
"repeats": 1,
|
1220 |
+
"should_decontaminate": false,
|
1221 |
+
"metadata": {
|
1222 |
+
"version": 1.0
|
1223 |
+
}
|
1224 |
+
},
|
1225 |
+
"ceval-valid_high_school_chinese": {
|
1226 |
+
"task": "ceval-valid_high_school_chinese",
|
1227 |
+
"group": "ceval-valid",
|
1228 |
+
"dataset_path": "ceval/ceval-exam",
|
1229 |
+
"dataset_name": "high_school_chinese",
|
1230 |
+
"validation_split": "val",
|
1231 |
+
"fewshot_split": "dev",
|
1232 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
1233 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
1234 |
+
"doc_to_choice": [
|
1235 |
+
"A",
|
1236 |
+
"B",
|
1237 |
+
"C",
|
1238 |
+
"D"
|
1239 |
+
],
|
1240 |
+
"description": "以下是中国关于高中语文的单项选择题,请选出其中的正确答案。\n\n",
|
1241 |
+
"target_delimiter": " ",
|
1242 |
+
"fewshot_delimiter": "\n\n",
|
1243 |
+
"fewshot_config": {
|
1244 |
+
"sampler": "first_n"
|
1245 |
+
},
|
1246 |
+
"metric_list": [
|
1247 |
+
{
|
1248 |
+
"metric": "acc",
|
1249 |
+
"aggregation": "mean",
|
1250 |
+
"higher_is_better": true
|
1251 |
+
},
|
1252 |
+
{
|
1253 |
+
"metric": "acc_norm",
|
1254 |
+
"aggregation": "mean",
|
1255 |
+
"higher_is_better": true
|
1256 |
+
}
|
1257 |
+
],
|
1258 |
+
"output_type": "multiple_choice",
|
1259 |
+
"repeats": 1,
|
1260 |
+
"should_decontaminate": false,
|
1261 |
+
"metadata": {
|
1262 |
+
"version": 1.0
|
1263 |
+
}
|
1264 |
+
},
|
1265 |
+
"ceval-valid_high_school_geography": {
|
1266 |
+
"task": "ceval-valid_high_school_geography",
|
1267 |
+
"group": "ceval-valid",
|
1268 |
+
"dataset_path": "ceval/ceval-exam",
|
1269 |
+
"dataset_name": "high_school_geography",
|
1270 |
+
"validation_split": "val",
|
1271 |
+
"fewshot_split": "dev",
|
1272 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
1273 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
1274 |
+
"doc_to_choice": [
|
1275 |
+
"A",
|
1276 |
+
"B",
|
1277 |
+
"C",
|
1278 |
+
"D"
|
1279 |
+
],
|
1280 |
+
"description": "以下是中国关于高中地理的单项选择题,请选出其中的正确答案。\n\n",
|
1281 |
+
"target_delimiter": " ",
|
1282 |
+
"fewshot_delimiter": "\n\n",
|
1283 |
+
"fewshot_config": {
|
1284 |
+
"sampler": "first_n"
|
1285 |
+
},
|
1286 |
+
"metric_list": [
|
1287 |
+
{
|
1288 |
+
"metric": "acc",
|
1289 |
+
"aggregation": "mean",
|
1290 |
+
"higher_is_better": true
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"metric": "acc_norm",
|
1294 |
+
"aggregation": "mean",
|
1295 |
+
"higher_is_better": true
|
1296 |
+
}
|
1297 |
+
],
|
1298 |
+
"output_type": "multiple_choice",
|
1299 |
+
"repeats": 1,
|
1300 |
+
"should_decontaminate": false,
|
1301 |
+
"metadata": {
|
1302 |
+
"version": 1.0
|
1303 |
+
}
|
1304 |
+
},
|
1305 |
+
"ceval-valid_high_school_history": {
|
1306 |
+
"task": "ceval-valid_high_school_history",
|
1307 |
+
"group": "ceval-valid",
|
1308 |
+
"dataset_path": "ceval/ceval-exam",
|
1309 |
+
"dataset_name": "high_school_history",
|
1310 |
+
"validation_split": "val",
|
1311 |
+
"fewshot_split": "dev",
|
1312 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
1313 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
1314 |
+
"doc_to_choice": [
|
1315 |
+
"A",
|
1316 |
+
"B",
|
1317 |
+
"C",
|
1318 |
+
"D"
|
1319 |
+
],
|
1320 |
+
"description": "以下是中国关于高中历史的单项选择题,请选出其中的正确答案。\n\n",
|
1321 |
+
"target_delimiter": " ",
|
1322 |
+
"fewshot_delimiter": "\n\n",
|
1323 |
+
"fewshot_config": {
|
1324 |
+
"sampler": "first_n"
|
1325 |
+
},
|
1326 |
+
"metric_list": [
|
1327 |
+
{
|
1328 |
+
"metric": "acc",
|
1329 |
+
"aggregation": "mean",
|
1330 |
+
"higher_is_better": true
|
1331 |
+
},
|
1332 |
+
{
|
1333 |
+
"metric": "acc_norm",
|
1334 |
+
"aggregation": "mean",
|
1335 |
+
"higher_is_better": true
|
1336 |
+
}
|
1337 |
+
],
|
1338 |
+
"output_type": "multiple_choice",
|
1339 |
+
"repeats": 1,
|
1340 |
+
"should_decontaminate": false,
|
1341 |
+
"metadata": {
|
1342 |
+
"version": 1.0
|
1343 |
+
}
|
1344 |
+
},
|
1345 |
+
"ceval-valid_high_school_mathematics": {
|
1346 |
+
"task": "ceval-valid_high_school_mathematics",
|
1347 |
+
"group": "ceval-valid",
|
1348 |
+
"dataset_path": "ceval/ceval-exam",
|
1349 |
+
"dataset_name": "high_school_mathematics",
|
1350 |
+
"validation_split": "val",
|
1351 |
+
"fewshot_split": "dev",
|
1352 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
1353 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
1354 |
+
"doc_to_choice": [
|
1355 |
+
"A",
|
1356 |
+
"B",
|
1357 |
+
"C",
|
1358 |
+
"D"
|
1359 |
+
],
|
1360 |
+
"description": "以下是中国关于高中数学的单项选择题,请选出其中的正确答案。\n\n",
|
1361 |
+
"target_delimiter": " ",
|
1362 |
+
"fewshot_delimiter": "\n\n",
|
1363 |
+
"fewshot_config": {
|
1364 |
+
"sampler": "first_n"
|
1365 |
+
},
|
1366 |
+
"metric_list": [
|
1367 |
+
{
|
1368 |
+
"metric": "acc",
|
1369 |
+
"aggregation": "mean",
|
1370 |
+
"higher_is_better": true
|
1371 |
+
},
|
1372 |
+
{
|
1373 |
+
"metric": "acc_norm",
|
1374 |
+
"aggregation": "mean",
|
1375 |
+
"higher_is_better": true
|
1376 |
+
}
|
1377 |
+
],
|
1378 |
+
"output_type": "multiple_choice",
|
1379 |
+
"repeats": 1,
|
1380 |
+
"should_decontaminate": false,
|
1381 |
+
"metadata": {
|
1382 |
+
"version": 1.0
|
1383 |
+
}
|
1384 |
+
},
|
1385 |
+
"ceval-valid_high_school_physics": {
|
1386 |
+
"task": "ceval-valid_high_school_physics",
|
1387 |
+
"group": "ceval-valid",
|
1388 |
+
"dataset_path": "ceval/ceval-exam",
|
1389 |
+
"dataset_name": "high_school_physics",
|
1390 |
+
"validation_split": "val",
|
1391 |
+
"fewshot_split": "dev",
|
1392 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
1393 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
1394 |
+
"doc_to_choice": [
|
1395 |
+
"A",
|
1396 |
+
"B",
|
1397 |
+
"C",
|
1398 |
+
"D"
|
1399 |
+
],
|
1400 |
+
"description": "以下是中国关于高中物理的单项选择题,请选出其中的正确答案。\n\n",
|
1401 |
+
"target_delimiter": " ",
|
1402 |
+
"fewshot_delimiter": "\n\n",
|
1403 |
+
"fewshot_config": {
|
1404 |
+
"sampler": "first_n"
|
1405 |
+
},
|
1406 |
+
"metric_list": [
|
1407 |
+
{
|
1408 |
+
"metric": "acc",
|
1409 |
+
"aggregation": "mean",
|
1410 |
+
"higher_is_better": true
|
1411 |
+
},
|
1412 |
+
{
|
1413 |
+
"metric": "acc_norm",
|
1414 |
+
"aggregation": "mean",
|
1415 |
+
"higher_is_better": true
|
1416 |
+
}
|
1417 |
+
],
|
1418 |
+
"output_type": "multiple_choice",
|
1419 |
+
"repeats": 1,
|
1420 |
+
"should_decontaminate": false,
|
1421 |
+
"metadata": {
|
1422 |
+
"version": 1.0
|
1423 |
+
}
|
1424 |
+
},
|
1425 |
+
"ceval-valid_high_school_politics": {
|
1426 |
+
"task": "ceval-valid_high_school_politics",
|
1427 |
+
"group": "ceval-valid",
|
1428 |
+
"dataset_path": "ceval/ceval-exam",
|
1429 |
+
"dataset_name": "high_school_politics",
|
1430 |
+
"validation_split": "val",
|
1431 |
+
"fewshot_split": "dev",
|
1432 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
1433 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
1434 |
+
"doc_to_choice": [
|
1435 |
+
"A",
|
1436 |
+
"B",
|
1437 |
+
"C",
|
1438 |
+
"D"
|
1439 |
+
],
|
1440 |
+
"description": "以下是中国关于高中政治的单项选择题,请选出其中的正确答案。\n\n",
|
1441 |
+
"target_delimiter": " ",
|
1442 |
+
"fewshot_delimiter": "\n\n",
|
1443 |
+
"fewshot_config": {
|
1444 |
+
"sampler": "first_n"
|
1445 |
+
},
|
1446 |
+
"metric_list": [
|
1447 |
+
{
|
1448 |
+
"metric": "acc",
|
1449 |
+
"aggregation": "mean",
|
1450 |
+
"higher_is_better": true
|
1451 |
+
},
|
1452 |
+
{
|
1453 |
+
"metric": "acc_norm",
|
1454 |
+
"aggregation": "mean",
|
1455 |
+
"higher_is_better": true
|
1456 |
+
}
|
1457 |
+
],
|
1458 |
+
"output_type": "multiple_choice",
|
1459 |
+
"repeats": 1,
|
1460 |
+
"should_decontaminate": false,
|
1461 |
+
"metadata": {
|
1462 |
+
"version": 1.0
|
1463 |
+
}
|
1464 |
+
},
|
1465 |
+
"ceval-valid_ideological_and_moral_cultivation": {
|
1466 |
+
"task": "ceval-valid_ideological_and_moral_cultivation",
|
1467 |
+
"group": "ceval-valid",
|
1468 |
+
"dataset_path": "ceval/ceval-exam",
|
1469 |
+
"dataset_name": "ideological_and_moral_cultivation",
|
1470 |
+
"validation_split": "val",
|
1471 |
+
"fewshot_split": "dev",
|
1472 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
1473 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
1474 |
+
"doc_to_choice": [
|
1475 |
+
"A",
|
1476 |
+
"B",
|
1477 |
+
"C",
|
1478 |
+
"D"
|
1479 |
+
],
|
1480 |
+
"description": "以下是中国关于思想道德修养与法律基础的单项选择题,请选出其中的正确答案。\n\n",
|
1481 |
+
"target_delimiter": " ",
|
1482 |
+
"fewshot_delimiter": "\n\n",
|
1483 |
+
"fewshot_config": {
|
1484 |
+
"sampler": "first_n"
|
1485 |
+
},
|
1486 |
+
"metric_list": [
|
1487 |
+
{
|
1488 |
+
"metric": "acc",
|
1489 |
+
"aggregation": "mean",
|
1490 |
+
"higher_is_better": true
|
1491 |
+
},
|
1492 |
+
{
|
1493 |
+
"metric": "acc_norm",
|
1494 |
+
"aggregation": "mean",
|
1495 |
+
"higher_is_better": true
|
1496 |
+
}
|
1497 |
+
],
|
1498 |
+
"output_type": "multiple_choice",
|
1499 |
+
"repeats": 1,
|
1500 |
+
"should_decontaminate": false,
|
1501 |
+
"metadata": {
|
1502 |
+
"version": 1.0
|
1503 |
+
}
|
1504 |
+
},
|
1505 |
+
"ceval-valid_law": {
|
1506 |
+
"task": "ceval-valid_law",
|
1507 |
+
"group": "ceval-valid",
|
1508 |
+
"dataset_path": "ceval/ceval-exam",
|
1509 |
+
"dataset_name": "law",
|
1510 |
+
"validation_split": "val",
|
1511 |
+
"fewshot_split": "dev",
|
1512 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
1513 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
1514 |
+
"doc_to_choice": [
|
1515 |
+
"A",
|
1516 |
+
"B",
|
1517 |
+
"C",
|
1518 |
+
"D"
|
1519 |
+
],
|
1520 |
+
"description": "以下是中国关于法学的单项选择题,请选出其中的正确答案。\n\n",
|
1521 |
+
"target_delimiter": " ",
|
1522 |
+
"fewshot_delimiter": "\n\n",
|
1523 |
+
"fewshot_config": {
|
1524 |
+
"sampler": "first_n"
|
1525 |
+
},
|
1526 |
+
"metric_list": [
|
1527 |
+
{
|
1528 |
+
"metric": "acc",
|
1529 |
+
"aggregation": "mean",
|
1530 |
+
"higher_is_better": true
|
1531 |
+
},
|
1532 |
+
{
|
1533 |
+
"metric": "acc_norm",
|
1534 |
+
"aggregation": "mean",
|
1535 |
+
"higher_is_better": true
|
1536 |
+
}
|
1537 |
+
],
|
1538 |
+
"output_type": "multiple_choice",
|
1539 |
+
"repeats": 1,
|
1540 |
+
"should_decontaminate": false,
|
1541 |
+
"metadata": {
|
1542 |
+
"version": 1.0
|
1543 |
+
}
|
1544 |
+
},
|
1545 |
+
"ceval-valid_legal_professional": {
|
1546 |
+
"task": "ceval-valid_legal_professional",
|
1547 |
+
"group": "ceval-valid",
|
1548 |
+
"dataset_path": "ceval/ceval-exam",
|
1549 |
+
"dataset_name": "legal_professional",
|
1550 |
+
"validation_split": "val",
|
1551 |
+
"fewshot_split": "dev",
|
1552 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
1553 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
1554 |
+
"doc_to_choice": [
|
1555 |
+
"A",
|
1556 |
+
"B",
|
1557 |
+
"C",
|
1558 |
+
"D"
|
1559 |
+
],
|
1560 |
+
"description": "以下是中国关于法律职业资格的单项选择题,请选出其中的正确答案。\n\n",
|
1561 |
+
"target_delimiter": " ",
|
1562 |
+
"fewshot_delimiter": "\n\n",
|
1563 |
+
"fewshot_config": {
|
1564 |
+
"sampler": "first_n"
|
1565 |
+
},
|
1566 |
+
"metric_list": [
|
1567 |
+
{
|
1568 |
+
"metric": "acc",
|
1569 |
+
"aggregation": "mean",
|
1570 |
+
"higher_is_better": true
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"metric": "acc_norm",
|
1574 |
+
"aggregation": "mean",
|
1575 |
+
"higher_is_better": true
|
1576 |
+
}
|
1577 |
+
],
|
1578 |
+
"output_type": "multiple_choice",
|
1579 |
+
"repeats": 1,
|
1580 |
+
"should_decontaminate": false,
|
1581 |
+
"metadata": {
|
1582 |
+
"version": 1.0
|
1583 |
+
}
|
1584 |
+
},
|
1585 |
+
"ceval-valid_logic": {
|
1586 |
+
"task": "ceval-valid_logic",
|
1587 |
+
"group": "ceval-valid",
|
1588 |
+
"dataset_path": "ceval/ceval-exam",
|
1589 |
+
"dataset_name": "logic",
|
1590 |
+
"validation_split": "val",
|
1591 |
+
"fewshot_split": "dev",
|
1592 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
1593 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
1594 |
+
"doc_to_choice": [
|
1595 |
+
"A",
|
1596 |
+
"B",
|
1597 |
+
"C",
|
1598 |
+
"D"
|
1599 |
+
],
|
1600 |
+
"description": "以下是中国关于逻辑学的单项选择题,请选出其中的正确答案。\n\n",
|
1601 |
+
"target_delimiter": " ",
|
1602 |
+
"fewshot_delimiter": "\n\n",
|
1603 |
+
"fewshot_config": {
|
1604 |
+
"sampler": "first_n"
|
1605 |
+
},
|
1606 |
+
"metric_list": [
|
1607 |
+
{
|
1608 |
+
"metric": "acc",
|
1609 |
+
"aggregation": "mean",
|
1610 |
+
"higher_is_better": true
|
1611 |
+
},
|
1612 |
+
{
|
1613 |
+
"metric": "acc_norm",
|
1614 |
+
"aggregation": "mean",
|
1615 |
+
"higher_is_better": true
|
1616 |
+
}
|
1617 |
+
],
|
1618 |
+
"output_type": "multiple_choice",
|
1619 |
+
"repeats": 1,
|
1620 |
+
"should_decontaminate": false,
|
1621 |
+
"metadata": {
|
1622 |
+
"version": 1.0
|
1623 |
+
}
|
1624 |
+
},
|
1625 |
+
"ceval-valid_mao_zedong_thought": {
|
1626 |
+
"task": "ceval-valid_mao_zedong_thought",
|
1627 |
+
"group": "ceval-valid",
|
1628 |
+
"dataset_path": "ceval/ceval-exam",
|
1629 |
+
"dataset_name": "mao_zedong_thought",
|
1630 |
+
"validation_split": "val",
|
1631 |
+
"fewshot_split": "dev",
|
1632 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
1633 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
1634 |
+
"doc_to_choice": [
|
1635 |
+
"A",
|
1636 |
+
"B",
|
1637 |
+
"C",
|
1638 |
+
"D"
|
1639 |
+
],
|
1640 |
+
"description": "以下是中国关于毛泽东思想和中国特色社会主义理论体系概论的单项选择题,请选出其中的正确答案。\n\n",
|
1641 |
+
"target_delimiter": " ",
|
1642 |
+
"fewshot_delimiter": "\n\n",
|
1643 |
+
"fewshot_config": {
|
1644 |
+
"sampler": "first_n"
|
1645 |
+
},
|
1646 |
+
"metric_list": [
|
1647 |
+
{
|
1648 |
+
"metric": "acc",
|
1649 |
+
"aggregation": "mean",
|
1650 |
+
"higher_is_better": true
|
1651 |
+
},
|
1652 |
+
{
|
1653 |
+
"metric": "acc_norm",
|
1654 |
+
"aggregation": "mean",
|
1655 |
+
"higher_is_better": true
|
1656 |
+
}
|
1657 |
+
],
|
1658 |
+
"output_type": "multiple_choice",
|
1659 |
+
"repeats": 1,
|
1660 |
+
"should_decontaminate": false,
|
1661 |
+
"metadata": {
|
1662 |
+
"version": 1.0
|
1663 |
+
}
|
1664 |
+
},
|
1665 |
+
"ceval-valid_marxism": {
|
1666 |
+
"task": "ceval-valid_marxism",
|
1667 |
+
"group": "ceval-valid",
|
1668 |
+
"dataset_path": "ceval/ceval-exam",
|
1669 |
+
"dataset_name": "marxism",
|
1670 |
+
"validation_split": "val",
|
1671 |
+
"fewshot_split": "dev",
|
1672 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
1673 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
1674 |
+
"doc_to_choice": [
|
1675 |
+
"A",
|
1676 |
+
"B",
|
1677 |
+
"C",
|
1678 |
+
"D"
|
1679 |
+
],
|
1680 |
+
"description": "以下是中国关于马克思主义基本原理的单项选择题,请选出其中的正确答案。\n\n",
|
1681 |
+
"target_delimiter": " ",
|
1682 |
+
"fewshot_delimiter": "\n\n",
|
1683 |
+
"fewshot_config": {
|
1684 |
+
"sampler": "first_n"
|
1685 |
+
},
|
1686 |
+
"metric_list": [
|
1687 |
+
{
|
1688 |
+
"metric": "acc",
|
1689 |
+
"aggregation": "mean",
|
1690 |
+
"higher_is_better": true
|
1691 |
+
},
|
1692 |
+
{
|
1693 |
+
"metric": "acc_norm",
|
1694 |
+
"aggregation": "mean",
|
1695 |
+
"higher_is_better": true
|
1696 |
+
}
|
1697 |
+
],
|
1698 |
+
"output_type": "multiple_choice",
|
1699 |
+
"repeats": 1,
|
1700 |
+
"should_decontaminate": false,
|
1701 |
+
"metadata": {
|
1702 |
+
"version": 1.0
|
1703 |
+
}
|
1704 |
+
},
|
1705 |
+
"ceval-valid_metrology_engineer": {
|
1706 |
+
"task": "ceval-valid_metrology_engineer",
|
1707 |
+
"group": "ceval-valid",
|
1708 |
+
"dataset_path": "ceval/ceval-exam",
|
1709 |
+
"dataset_name": "metrology_engineer",
|
1710 |
+
"validation_split": "val",
|
1711 |
+
"fewshot_split": "dev",
|
1712 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
1713 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
1714 |
+
"doc_to_choice": [
|
1715 |
+
"A",
|
1716 |
+
"B",
|
1717 |
+
"C",
|
1718 |
+
"D"
|
1719 |
+
],
|
1720 |
+
"description": "以下是中国关于注册计量师的单项选择题,请选出其中的正确答案。\n\n",
|
1721 |
+
"target_delimiter": " ",
|
1722 |
+
"fewshot_delimiter": "\n\n",
|
1723 |
+
"fewshot_config": {
|
1724 |
+
"sampler": "first_n"
|
1725 |
+
},
|
1726 |
+
"metric_list": [
|
1727 |
+
{
|
1728 |
+
"metric": "acc",
|
1729 |
+
"aggregation": "mean",
|
1730 |
+
"higher_is_better": true
|
1731 |
+
},
|
1732 |
+
{
|
1733 |
+
"metric": "acc_norm",
|
1734 |
+
"aggregation": "mean",
|
1735 |
+
"higher_is_better": true
|
1736 |
+
}
|
1737 |
+
],
|
1738 |
+
"output_type": "multiple_choice",
|
1739 |
+
"repeats": 1,
|
1740 |
+
"should_decontaminate": false,
|
1741 |
+
"metadata": {
|
1742 |
+
"version": 1.0
|
1743 |
+
}
|
1744 |
+
},
|
1745 |
+
"ceval-valid_middle_school_biology": {
|
1746 |
+
"task": "ceval-valid_middle_school_biology",
|
1747 |
+
"group": "ceval-valid",
|
1748 |
+
"dataset_path": "ceval/ceval-exam",
|
1749 |
+
"dataset_name": "middle_school_biology",
|
1750 |
+
"validation_split": "val",
|
1751 |
+
"fewshot_split": "dev",
|
1752 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
1753 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
1754 |
+
"doc_to_choice": [
|
1755 |
+
"A",
|
1756 |
+
"B",
|
1757 |
+
"C",
|
1758 |
+
"D"
|
1759 |
+
],
|
1760 |
+
"description": "以下是中国关于初中生物的单项选择题,请选出其中的正确答案。\n\n",
|
1761 |
+
"target_delimiter": " ",
|
1762 |
+
"fewshot_delimiter": "\n\n",
|
1763 |
+
"fewshot_config": {
|
1764 |
+
"sampler": "first_n"
|
1765 |
+
},
|
1766 |
+
"metric_list": [
|
1767 |
+
{
|
1768 |
+
"metric": "acc",
|
1769 |
+
"aggregation": "mean",
|
1770 |
+
"higher_is_better": true
|
1771 |
+
},
|
1772 |
+
{
|
1773 |
+
"metric": "acc_norm",
|
1774 |
+
"aggregation": "mean",
|
1775 |
+
"higher_is_better": true
|
1776 |
+
}
|
1777 |
+
],
|
1778 |
+
"output_type": "multiple_choice",
|
1779 |
+
"repeats": 1,
|
1780 |
+
"should_decontaminate": false,
|
1781 |
+
"metadata": {
|
1782 |
+
"version": 1.0
|
1783 |
+
}
|
1784 |
+
},
|
1785 |
+
"ceval-valid_middle_school_chemistry": {
|
1786 |
+
"task": "ceval-valid_middle_school_chemistry",
|
1787 |
+
"group": "ceval-valid",
|
1788 |
+
"dataset_path": "ceval/ceval-exam",
|
1789 |
+
"dataset_name": "middle_school_chemistry",
|
1790 |
+
"validation_split": "val",
|
1791 |
+
"fewshot_split": "dev",
|
1792 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
1793 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
1794 |
+
"doc_to_choice": [
|
1795 |
+
"A",
|
1796 |
+
"B",
|
1797 |
+
"C",
|
1798 |
+
"D"
|
1799 |
+
],
|
1800 |
+
"description": "以下是中国关于初中化学的单项选择题,请选出其中的正确答案。\n\n",
|
1801 |
+
"target_delimiter": " ",
|
1802 |
+
"fewshot_delimiter": "\n\n",
|
1803 |
+
"fewshot_config": {
|
1804 |
+
"sampler": "first_n"
|
1805 |
+
},
|
1806 |
+
"metric_list": [
|
1807 |
+
{
|
1808 |
+
"metric": "acc",
|
1809 |
+
"aggregation": "mean",
|
1810 |
+
"higher_is_better": true
|
1811 |
+
},
|
1812 |
+
{
|
1813 |
+
"metric": "acc_norm",
|
1814 |
+
"aggregation": "mean",
|
1815 |
+
"higher_is_better": true
|
1816 |
+
}
|
1817 |
+
],
|
1818 |
+
"output_type": "multiple_choice",
|
1819 |
+
"repeats": 1,
|
1820 |
+
"should_decontaminate": false,
|
1821 |
+
"metadata": {
|
1822 |
+
"version": 1.0
|
1823 |
+
}
|
1824 |
+
},
|
1825 |
+
"ceval-valid_middle_school_geography": {
|
1826 |
+
"task": "ceval-valid_middle_school_geography",
|
1827 |
+
"group": "ceval-valid",
|
1828 |
+
"dataset_path": "ceval/ceval-exam",
|
1829 |
+
"dataset_name": "middle_school_geography",
|
1830 |
+
"validation_split": "val",
|
1831 |
+
"fewshot_split": "dev",
|
1832 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
1833 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
1834 |
+
"doc_to_choice": [
|
1835 |
+
"A",
|
1836 |
+
"B",
|
1837 |
+
"C",
|
1838 |
+
"D"
|
1839 |
+
],
|
1840 |
+
"description": "以下是中国关于初中地理的单项选择题,请选出其中的正确答案。\n\n",
|
1841 |
+
"target_delimiter": " ",
|
1842 |
+
"fewshot_delimiter": "\n\n",
|
1843 |
+
"fewshot_config": {
|
1844 |
+
"sampler": "first_n"
|
1845 |
+
},
|
1846 |
+
"metric_list": [
|
1847 |
+
{
|
1848 |
+
"metric": "acc",
|
1849 |
+
"aggregation": "mean",
|
1850 |
+
"higher_is_better": true
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"metric": "acc_norm",
|
1854 |
+
"aggregation": "mean",
|
1855 |
+
"higher_is_better": true
|
1856 |
+
}
|
1857 |
+
],
|
1858 |
+
"output_type": "multiple_choice",
|
1859 |
+
"repeats": 1,
|
1860 |
+
"should_decontaminate": false,
|
1861 |
+
"metadata": {
|
1862 |
+
"version": 1.0
|
1863 |
+
}
|
1864 |
+
},
|
1865 |
+
"ceval-valid_middle_school_history": {
|
1866 |
+
"task": "ceval-valid_middle_school_history",
|
1867 |
+
"group": "ceval-valid",
|
1868 |
+
"dataset_path": "ceval/ceval-exam",
|
1869 |
+
"dataset_name": "middle_school_history",
|
1870 |
+
"validation_split": "val",
|
1871 |
+
"fewshot_split": "dev",
|
1872 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
1873 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
1874 |
+
"doc_to_choice": [
|
1875 |
+
"A",
|
1876 |
+
"B",
|
1877 |
+
"C",
|
1878 |
+
"D"
|
1879 |
+
],
|
1880 |
+
"description": "以下是中国关于初中历史的单项选择题,请选出其中的正确答案。\n\n",
|
1881 |
+
"target_delimiter": " ",
|
1882 |
+
"fewshot_delimiter": "\n\n",
|
1883 |
+
"fewshot_config": {
|
1884 |
+
"sampler": "first_n"
|
1885 |
+
},
|
1886 |
+
"metric_list": [
|
1887 |
+
{
|
1888 |
+
"metric": "acc",
|
1889 |
+
"aggregation": "mean",
|
1890 |
+
"higher_is_better": true
|
1891 |
+
},
|
1892 |
+
{
|
1893 |
+
"metric": "acc_norm",
|
1894 |
+
"aggregation": "mean",
|
1895 |
+
"higher_is_better": true
|
1896 |
+
}
|
1897 |
+
],
|
1898 |
+
"output_type": "multiple_choice",
|
1899 |
+
"repeats": 1,
|
1900 |
+
"should_decontaminate": false,
|
1901 |
+
"metadata": {
|
1902 |
+
"version": 1.0
|
1903 |
+
}
|
1904 |
+
},
|
1905 |
+
"ceval-valid_middle_school_mathematics": {
|
1906 |
+
"task": "ceval-valid_middle_school_mathematics",
|
1907 |
+
"group": "ceval-valid",
|
1908 |
+
"dataset_path": "ceval/ceval-exam",
|
1909 |
+
"dataset_name": "middle_school_mathematics",
|
1910 |
+
"validation_split": "val",
|
1911 |
+
"fewshot_split": "dev",
|
1912 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
1913 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
1914 |
+
"doc_to_choice": [
|
1915 |
+
"A",
|
1916 |
+
"B",
|
1917 |
+
"C",
|
1918 |
+
"D"
|
1919 |
+
],
|
1920 |
+
"description": "以下是中国关于初中数学的单项选择题,请选出其中的正确答案。\n\n",
|
1921 |
+
"target_delimiter": " ",
|
1922 |
+
"fewshot_delimiter": "\n\n",
|
1923 |
+
"fewshot_config": {
|
1924 |
+
"sampler": "first_n"
|
1925 |
+
},
|
1926 |
+
"metric_list": [
|
1927 |
+
{
|
1928 |
+
"metric": "acc",
|
1929 |
+
"aggregation": "mean",
|
1930 |
+
"higher_is_better": true
|
1931 |
+
},
|
1932 |
+
{
|
1933 |
+
"metric": "acc_norm",
|
1934 |
+
"aggregation": "mean",
|
1935 |
+
"higher_is_better": true
|
1936 |
+
}
|
1937 |
+
],
|
1938 |
+
"output_type": "multiple_choice",
|
1939 |
+
"repeats": 1,
|
1940 |
+
"should_decontaminate": false,
|
1941 |
+
"metadata": {
|
1942 |
+
"version": 1.0
|
1943 |
+
}
|
1944 |
+
},
|
1945 |
+
"ceval-valid_middle_school_physics": {
|
1946 |
+
"task": "ceval-valid_middle_school_physics",
|
1947 |
+
"group": "ceval-valid",
|
1948 |
+
"dataset_path": "ceval/ceval-exam",
|
1949 |
+
"dataset_name": "middle_school_physics",
|
1950 |
+
"validation_split": "val",
|
1951 |
+
"fewshot_split": "dev",
|
1952 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
1953 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
1954 |
+
"doc_to_choice": [
|
1955 |
+
"A",
|
1956 |
+
"B",
|
1957 |
+
"C",
|
1958 |
+
"D"
|
1959 |
+
],
|
1960 |
+
"description": "以下是中国关于初中物理的单项选择题,请选出其中的正确答案。\n\n",
|
1961 |
+
"target_delimiter": " ",
|
1962 |
+
"fewshot_delimiter": "\n\n",
|
1963 |
+
"fewshot_config": {
|
1964 |
+
"sampler": "first_n"
|
1965 |
+
},
|
1966 |
+
"metric_list": [
|
1967 |
+
{
|
1968 |
+
"metric": "acc",
|
1969 |
+
"aggregation": "mean",
|
1970 |
+
"higher_is_better": true
|
1971 |
+
},
|
1972 |
+
{
|
1973 |
+
"metric": "acc_norm",
|
1974 |
+
"aggregation": "mean",
|
1975 |
+
"higher_is_better": true
|
1976 |
+
}
|
1977 |
+
],
|
1978 |
+
"output_type": "multiple_choice",
|
1979 |
+
"repeats": 1,
|
1980 |
+
"should_decontaminate": false,
|
1981 |
+
"metadata": {
|
1982 |
+
"version": 1.0
|
1983 |
+
}
|
1984 |
+
},
|
1985 |
+
"ceval-valid_middle_school_politics": {
|
1986 |
+
"task": "ceval-valid_middle_school_politics",
|
1987 |
+
"group": "ceval-valid",
|
1988 |
+
"dataset_path": "ceval/ceval-exam",
|
1989 |
+
"dataset_name": "middle_school_politics",
|
1990 |
+
"validation_split": "val",
|
1991 |
+
"fewshot_split": "dev",
|
1992 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
1993 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
1994 |
+
"doc_to_choice": [
|
1995 |
+
"A",
|
1996 |
+
"B",
|
1997 |
+
"C",
|
1998 |
+
"D"
|
1999 |
+
],
|
2000 |
+
"description": "以下是中国关于初中政治的单项选择题,请选出其中的正确答案。\n\n",
|
2001 |
+
"target_delimiter": " ",
|
2002 |
+
"fewshot_delimiter": "\n\n",
|
2003 |
+
"fewshot_config": {
|
2004 |
+
"sampler": "first_n"
|
2005 |
+
},
|
2006 |
+
"metric_list": [
|
2007 |
+
{
|
2008 |
+
"metric": "acc",
|
2009 |
+
"aggregation": "mean",
|
2010 |
+
"higher_is_better": true
|
2011 |
+
},
|
2012 |
+
{
|
2013 |
+
"metric": "acc_norm",
|
2014 |
+
"aggregation": "mean",
|
2015 |
+
"higher_is_better": true
|
2016 |
+
}
|
2017 |
+
],
|
2018 |
+
"output_type": "multiple_choice",
|
2019 |
+
"repeats": 1,
|
2020 |
+
"should_decontaminate": false,
|
2021 |
+
"metadata": {
|
2022 |
+
"version": 1.0
|
2023 |
+
}
|
2024 |
+
},
|
2025 |
+
"ceval-valid_modern_chinese_history": {
|
2026 |
+
"task": "ceval-valid_modern_chinese_history",
|
2027 |
+
"group": "ceval-valid",
|
2028 |
+
"dataset_path": "ceval/ceval-exam",
|
2029 |
+
"dataset_name": "modern_chinese_history",
|
2030 |
+
"validation_split": "val",
|
2031 |
+
"fewshot_split": "dev",
|
2032 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
2033 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
2034 |
+
"doc_to_choice": [
|
2035 |
+
"A",
|
2036 |
+
"B",
|
2037 |
+
"C",
|
2038 |
+
"D"
|
2039 |
+
],
|
2040 |
+
"description": "以下是中国关于近代史纲要的单项选择题,请选出其中的正确答案。\n\n",
|
2041 |
+
"target_delimiter": " ",
|
2042 |
+
"fewshot_delimiter": "\n\n",
|
2043 |
+
"fewshot_config": {
|
2044 |
+
"sampler": "first_n"
|
2045 |
+
},
|
2046 |
+
"metric_list": [
|
2047 |
+
{
|
2048 |
+
"metric": "acc",
|
2049 |
+
"aggregation": "mean",
|
2050 |
+
"higher_is_better": true
|
2051 |
+
},
|
2052 |
+
{
|
2053 |
+
"metric": "acc_norm",
|
2054 |
+
"aggregation": "mean",
|
2055 |
+
"higher_is_better": true
|
2056 |
+
}
|
2057 |
+
],
|
2058 |
+
"output_type": "multiple_choice",
|
2059 |
+
"repeats": 1,
|
2060 |
+
"should_decontaminate": false,
|
2061 |
+
"metadata": {
|
2062 |
+
"version": 1.0
|
2063 |
+
}
|
2064 |
+
},
|
2065 |
+
"ceval-valid_operating_system": {
|
2066 |
+
"task": "ceval-valid_operating_system",
|
2067 |
+
"group": "ceval-valid",
|
2068 |
+
"dataset_path": "ceval/ceval-exam",
|
2069 |
+
"dataset_name": "operating_system",
|
2070 |
+
"validation_split": "val",
|
2071 |
+
"fewshot_split": "dev",
|
2072 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
2073 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
2074 |
+
"doc_to_choice": [
|
2075 |
+
"A",
|
2076 |
+
"B",
|
2077 |
+
"C",
|
2078 |
+
"D"
|
2079 |
+
],
|
2080 |
+
"description": "以下是中国关于操作系统的单项选择题,请选出其中的正确答案。\n\n",
|
2081 |
+
"target_delimiter": " ",
|
2082 |
+
"fewshot_delimiter": "\n\n",
|
2083 |
+
"fewshot_config": {
|
2084 |
+
"sampler": "first_n"
|
2085 |
+
},
|
2086 |
+
"metric_list": [
|
2087 |
+
{
|
2088 |
+
"metric": "acc",
|
2089 |
+
"aggregation": "mean",
|
2090 |
+
"higher_is_better": true
|
2091 |
+
},
|
2092 |
+
{
|
2093 |
+
"metric": "acc_norm",
|
2094 |
+
"aggregation": "mean",
|
2095 |
+
"higher_is_better": true
|
2096 |
+
}
|
2097 |
+
],
|
2098 |
+
"output_type": "multiple_choice",
|
2099 |
+
"repeats": 1,
|
2100 |
+
"should_decontaminate": false,
|
2101 |
+
"metadata": {
|
2102 |
+
"version": 1.0
|
2103 |
+
}
|
2104 |
+
},
|
2105 |
+
"ceval-valid_physician": {
|
2106 |
+
"task": "ceval-valid_physician",
|
2107 |
+
"group": "ceval-valid",
|
2108 |
+
"dataset_path": "ceval/ceval-exam",
|
2109 |
+
"dataset_name": "physician",
|
2110 |
+
"validation_split": "val",
|
2111 |
+
"fewshot_split": "dev",
|
2112 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
2113 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
2114 |
+
"doc_to_choice": [
|
2115 |
+
"A",
|
2116 |
+
"B",
|
2117 |
+
"C",
|
2118 |
+
"D"
|
2119 |
+
],
|
2120 |
+
"description": "以下是中国关于医师资格的单项选择题,请选出其中的正确答案。\n\n",
|
2121 |
+
"target_delimiter": " ",
|
2122 |
+
"fewshot_delimiter": "\n\n",
|
2123 |
+
"fewshot_config": {
|
2124 |
+
"sampler": "first_n"
|
2125 |
+
},
|
2126 |
+
"metric_list": [
|
2127 |
+
{
|
2128 |
+
"metric": "acc",
|
2129 |
+
"aggregation": "mean",
|
2130 |
+
"higher_is_better": true
|
2131 |
+
},
|
2132 |
+
{
|
2133 |
+
"metric": "acc_norm",
|
2134 |
+
"aggregation": "mean",
|
2135 |
+
"higher_is_better": true
|
2136 |
+
}
|
2137 |
+
],
|
2138 |
+
"output_type": "multiple_choice",
|
2139 |
+
"repeats": 1,
|
2140 |
+
"should_decontaminate": false,
|
2141 |
+
"metadata": {
|
2142 |
+
"version": 1.0
|
2143 |
+
}
|
2144 |
+
},
|
2145 |
+
"ceval-valid_plant_protection": {
|
2146 |
+
"task": "ceval-valid_plant_protection",
|
2147 |
+
"group": "ceval-valid",
|
2148 |
+
"dataset_path": "ceval/ceval-exam",
|
2149 |
+
"dataset_name": "plant_protection",
|
2150 |
+
"validation_split": "val",
|
2151 |
+
"fewshot_split": "dev",
|
2152 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
2153 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
2154 |
+
"doc_to_choice": [
|
2155 |
+
"A",
|
2156 |
+
"B",
|
2157 |
+
"C",
|
2158 |
+
"D"
|
2159 |
+
],
|
2160 |
+
"description": "以下是中国关于植物保护的单项选择题,请选出其中的正确答案。\n\n",
|
2161 |
+
"target_delimiter": " ",
|
2162 |
+
"fewshot_delimiter": "\n\n",
|
2163 |
+
"fewshot_config": {
|
2164 |
+
"sampler": "first_n"
|
2165 |
+
},
|
2166 |
+
"metric_list": [
|
2167 |
+
{
|
2168 |
+
"metric": "acc",
|
2169 |
+
"aggregation": "mean",
|
2170 |
+
"higher_is_better": true
|
2171 |
+
},
|
2172 |
+
{
|
2173 |
+
"metric": "acc_norm",
|
2174 |
+
"aggregation": "mean",
|
2175 |
+
"higher_is_better": true
|
2176 |
+
}
|
2177 |
+
],
|
2178 |
+
"output_type": "multiple_choice",
|
2179 |
+
"repeats": 1,
|
2180 |
+
"should_decontaminate": false,
|
2181 |
+
"metadata": {
|
2182 |
+
"version": 1.0
|
2183 |
+
}
|
2184 |
+
},
|
2185 |
+
"ceval-valid_probability_and_statistics": {
|
2186 |
+
"task": "ceval-valid_probability_and_statistics",
|
2187 |
+
"group": "ceval-valid",
|
2188 |
+
"dataset_path": "ceval/ceval-exam",
|
2189 |
+
"dataset_name": "probability_and_statistics",
|
2190 |
+
"validation_split": "val",
|
2191 |
+
"fewshot_split": "dev",
|
2192 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
2193 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
2194 |
+
"doc_to_choice": [
|
2195 |
+
"A",
|
2196 |
+
"B",
|
2197 |
+
"C",
|
2198 |
+
"D"
|
2199 |
+
],
|
2200 |
+
"description": "以下是中国关于概率统计的单项选择题,请选出其中的正确答案。\n\n",
|
2201 |
+
"target_delimiter": " ",
|
2202 |
+
"fewshot_delimiter": "\n\n",
|
2203 |
+
"fewshot_config": {
|
2204 |
+
"sampler": "first_n"
|
2205 |
+
},
|
2206 |
+
"metric_list": [
|
2207 |
+
{
|
2208 |
+
"metric": "acc",
|
2209 |
+
"aggregation": "mean",
|
2210 |
+
"higher_is_better": true
|
2211 |
+
},
|
2212 |
+
{
|
2213 |
+
"metric": "acc_norm",
|
2214 |
+
"aggregation": "mean",
|
2215 |
+
"higher_is_better": true
|
2216 |
+
}
|
2217 |
+
],
|
2218 |
+
"output_type": "multiple_choice",
|
2219 |
+
"repeats": 1,
|
2220 |
+
"should_decontaminate": false,
|
2221 |
+
"metadata": {
|
2222 |
+
"version": 1.0
|
2223 |
+
}
|
2224 |
+
},
|
2225 |
+
"ceval-valid_professional_tour_guide": {
|
2226 |
+
"task": "ceval-valid_professional_tour_guide",
|
2227 |
+
"group": "ceval-valid",
|
2228 |
+
"dataset_path": "ceval/ceval-exam",
|
2229 |
+
"dataset_name": "professional_tour_guide",
|
2230 |
+
"validation_split": "val",
|
2231 |
+
"fewshot_split": "dev",
|
2232 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
2233 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
2234 |
+
"doc_to_choice": [
|
2235 |
+
"A",
|
2236 |
+
"B",
|
2237 |
+
"C",
|
2238 |
+
"D"
|
2239 |
+
],
|
2240 |
+
"description": "以下是中国关于导游资格的单项选择题,请选出其中的正确答案。\n\n",
|
2241 |
+
"target_delimiter": " ",
|
2242 |
+
"fewshot_delimiter": "\n\n",
|
2243 |
+
"fewshot_config": {
|
2244 |
+
"sampler": "first_n"
|
2245 |
+
},
|
2246 |
+
"metric_list": [
|
2247 |
+
{
|
2248 |
+
"metric": "acc",
|
2249 |
+
"aggregation": "mean",
|
2250 |
+
"higher_is_better": true
|
2251 |
+
},
|
2252 |
+
{
|
2253 |
+
"metric": "acc_norm",
|
2254 |
+
"aggregation": "mean",
|
2255 |
+
"higher_is_better": true
|
2256 |
+
}
|
2257 |
+
],
|
2258 |
+
"output_type": "multiple_choice",
|
2259 |
+
"repeats": 1,
|
2260 |
+
"should_decontaminate": false,
|
2261 |
+
"metadata": {
|
2262 |
+
"version": 1.0
|
2263 |
+
}
|
2264 |
+
},
|
2265 |
+
"ceval-valid_sports_science": {
|
2266 |
+
"task": "ceval-valid_sports_science",
|
2267 |
+
"group": "ceval-valid",
|
2268 |
+
"dataset_path": "ceval/ceval-exam",
|
2269 |
+
"dataset_name": "sports_science",
|
2270 |
+
"validation_split": "val",
|
2271 |
+
"fewshot_split": "dev",
|
2272 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
2273 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
2274 |
+
"doc_to_choice": [
|
2275 |
+
"A",
|
2276 |
+
"B",
|
2277 |
+
"C",
|
2278 |
+
"D"
|
2279 |
+
],
|
2280 |
+
"description": "以下是中国关于体育学的单项选择题,请选出其中的正确答案。\n\n",
|
2281 |
+
"target_delimiter": " ",
|
2282 |
+
"fewshot_delimiter": "\n\n",
|
2283 |
+
"fewshot_config": {
|
2284 |
+
"sampler": "first_n"
|
2285 |
+
},
|
2286 |
+
"metric_list": [
|
2287 |
+
{
|
2288 |
+
"metric": "acc",
|
2289 |
+
"aggregation": "mean",
|
2290 |
+
"higher_is_better": true
|
2291 |
+
},
|
2292 |
+
{
|
2293 |
+
"metric": "acc_norm",
|
2294 |
+
"aggregation": "mean",
|
2295 |
+
"higher_is_better": true
|
2296 |
+
}
|
2297 |
+
],
|
2298 |
+
"output_type": "multiple_choice",
|
2299 |
+
"repeats": 1,
|
2300 |
+
"should_decontaminate": false,
|
2301 |
+
"metadata": {
|
2302 |
+
"version": 1.0
|
2303 |
+
}
|
2304 |
+
},
|
2305 |
+
"ceval-valid_tax_accountant": {
|
2306 |
+
"task": "ceval-valid_tax_accountant",
|
2307 |
+
"group": "ceval-valid",
|
2308 |
+
"dataset_path": "ceval/ceval-exam",
|
2309 |
+
"dataset_name": "tax_accountant",
|
2310 |
+
"validation_split": "val",
|
2311 |
+
"fewshot_split": "dev",
|
2312 |
+
"doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案:",
|
2313 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answer)}}",
|
2314 |
+
"doc_to_choice": [
|
2315 |
+
"A",
|
2316 |
+
"B",
|
2317 |
+
"C",
|
2318 |
+
"D"
|
2319 |
+
],
|
2320 |
+
"description": "以下是中国关于税务师的单项选择题,请选出其中的正确答案。\n\n",
|
2321 |
+
"target_delimiter": " ",
|
2322 |
+
"fewshot_delimiter": "\n\n",
|
2323 |
+
"fewshot_config": {
|
2324 |
+
"sampler": "first_n"
|
2325 |
+
},
|
2326 |
+
"metric_list": [
|
2327 |
+
{
|
2328 |
+
"metric": "acc",
|
2329 |
+
"aggregation": "mean",
|
2330 |
+
"higher_is_better": true
|
2331 |
+
},
|
2332 |
+
{
|
2333 |
+
"metric": "acc_norm",
|
2334 |
+
"aggregation": "mean",
|
2335 |
+
"higher_is_better": true
|
2336 |
+
}
|
2337 |
+
],
|
2338 |
+
"output_type": "multiple_choice",
|
2339 |
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2340 |
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2341 |
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|
2342 |
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|
2343 |
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|
2344 |
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},
|
2345 |
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|
2346 |
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|
2347 |
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|
2348 |
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|
2349 |
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2350 |
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2351 |
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|
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2357 |
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2358 |
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|
2359 |
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],
|
2360 |
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2361 |
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2384 |
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2397 |
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2398 |
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"D"
|
2399 |
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|
2400 |
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2401 |
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version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1af8fd35b56d8045b9777d193a667ce2d6b68c31bc1ace9f2bab1c6aebf57278
|
3 |
+
size 15903
|
lm-eval-output/aisingapore/sealion3b/copa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
@@ -0,0 +1,58 @@
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|
1 |
+
{
|
2 |
+
"results": {
|
3 |
+
"copa": {
|
4 |
+
"acc,none": 0.8,
|
5 |
+
"acc_stderr,none": 0.040201512610368445,
|
6 |
+
"alias": "copa"
|
7 |
+
}
|
8 |
+
},
|
9 |
+
"configs": {
|
10 |
+
"copa": {
|
11 |
+
"task": "copa",
|
12 |
+
"group": [
|
13 |
+
"super-glue-lm-eval-v1"
|
14 |
+
],
|
15 |
+
"dataset_path": "super_glue",
|
16 |
+
"dataset_name": "copa",
|
17 |
+
"training_split": "train",
|
18 |
+
"validation_split": "validation",
|
19 |
+
"doc_to_text": "def doc_to_text(doc):\n # Drop the period\n connector = {\n \"cause\": \"because\",\n \"effect\": \"therefore\",\n }[doc[\"question\"]]\n return doc[\"premise\"].strip()[:-1] + f\" {connector}\"\n",
|
20 |
+
"doc_to_target": "def doc_to_target(doc):\n correct_choice = doc[\"choice1\"] if doc[\"label\"] == 0 else doc[\"choice2\"]\n # Connect the sentences\n return \" \" + convert_choice(correct_choice)\n",
|
21 |
+
"doc_to_choice": "def doc_to_choice(doc):\n return [\" \" + convert_choice(doc[\"choice1\"]), \" \" + convert_choice(doc[\"choice2\"])]\n",
|
22 |
+
"description": "",
|
23 |
+
"target_delimiter": " ",
|
24 |
+
"fewshot_delimiter": "\n\n",
|
25 |
+
"metric_list": [
|
26 |
+
{
|
27 |
+
"metric": "acc"
|
28 |
+
}
|
29 |
+
],
|
30 |
+
"output_type": "multiple_choice",
|
31 |
+
"repeats": 1,
|
32 |
+
"should_decontaminate": false,
|
33 |
+
"metadata": {
|
34 |
+
"version": 1.0
|
35 |
+
}
|
36 |
+
}
|
37 |
+
},
|
38 |
+
"versions": {
|
39 |
+
"copa": 1.0
|
40 |
+
},
|
41 |
+
"n-shot": {
|
42 |
+
"copa": 0
|
43 |
+
},
|
44 |
+
"config": {
|
45 |
+
"model": "hf",
|
46 |
+
"model_args": "pretrained=aisingapore/sealion3b,dtype=bfloat16,trust_remote_code=True",
|
47 |
+
"batch_size": "auto",
|
48 |
+
"batch_sizes": [
|
49 |
+
64
|
50 |
+
],
|
51 |
+
"device": null,
|
52 |
+
"use_cache": null,
|
53 |
+
"limit": null,
|
54 |
+
"bootstrap_iters": 100000,
|
55 |
+
"gen_kwargs": null
|
56 |
+
},
|
57 |
+
"git_hash": "8281e96"
|
58 |
+
}
|
lm-eval-output/aisingapore/sealion3b/copa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
@@ -0,0 +1,3 @@
|
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|
|
|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:47c1e2c3344f5f18afd09630276957b84e6e59287130549df80c0a792928d143
|
3 |
+
size 15248
|
lm-eval-output/aisingapore/sealion3b/crows_pairs/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
@@ -0,0 +1,1052 @@
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|
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|
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|
|
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|
|
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|
|
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|
|
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|
|
|
1 |
+
{
|
2 |
+
"results": {
|
3 |
+
"hellaswag": {
|
4 |
+
"acc,none": 0.476000796654053,
|
5 |
+
"acc_stderr,none": 0.00498403025050728,
|
6 |
+
"acc_norm,none": 0.6325433180641307,
|
7 |
+
"acc_norm_stderr,none": 0.004811269975450583,
|
8 |
+
"alias": "hellaswag"
|
9 |
+
}
|
10 |
+
},
|
11 |
+
"configs": {
|
12 |
+
"hellaswag": {
|
13 |
+
"task": "hellaswag",
|
14 |
+
"group": [
|
15 |
+
"multiple_choice"
|
16 |
+
],
|
17 |
+
"dataset_path": "hellaswag",
|
18 |
+
"training_split": "train",
|
19 |
+
"validation_split": "validation",
|
20 |
+
"process_docs": "def process_docs(dataset: datasets.Dataset) -> datasets.Dataset:\n def _process_doc(doc):\n ctx = doc[\"ctx_a\"] + \" \" + doc[\"ctx_b\"].capitalize()\n out_doc = {\n \"query\": preprocess(doc[\"activity_label\"] + \": \" + ctx),\n \"choices\": [preprocess(ending) for ending in doc[\"endings\"]],\n \"gold\": int(doc[\"label\"]),\n }\n return out_doc\n\n return dataset.map(_process_doc)\n",
|
21 |
+
"doc_to_text": "{{query}}",
|
22 |
+
"doc_to_target": "{{label}}",
|
23 |
+
"doc_to_choice": "choices",
|
24 |
+
"description": "",
|
25 |
+
"target_delimiter": " ",
|
26 |
+
"fewshot_delimiter": "\n\n",
|
27 |
+
"metric_list": [
|
28 |
+
{
|
29 |
+
"metric": "acc",
|
30 |
+
"aggregation": "mean",
|
31 |
+
"higher_is_better": true
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"metric": "acc_norm",
|
35 |
+
"aggregation": "mean",
|
36 |
+
"higher_is_better": true
|
37 |
+
}
|
38 |
+
],
|
39 |
+
"output_type": "multiple_choice",
|
40 |
+
"repeats": 1,
|
41 |
+
"should_decontaminate": false,
|
42 |
+
"metadata": {
|
43 |
+
"version": 1.0
|
44 |
+
}
|
45 |
+
}
|
46 |
+
},
|
47 |
+
"versions": {
|
48 |
+
"hellaswag": 1.0
|
49 |
+
},
|
50 |
+
"n-shot": {
|
51 |
+
"hellaswag": 0
|
52 |
+
},
|
53 |
+
"config": {
|
54 |
+
"model": "hf",
|
55 |
+
"model_args": "pretrained=aisingapore/sealion3b,dtype=bfloat16,trust_remote_code=True",
|
56 |
+
"batch_size": "auto",
|
57 |
+
"batch_sizes": [
|
58 |
+
64
|
59 |
+
],
|
60 |
+
"device": null,
|
61 |
+
"use_cache": null,
|
62 |
+
"limit": null,
|
63 |
+
"bootstrap_iters": 100000,
|
64 |
+
"gen_kwargs": null
|
65 |
+
},
|
66 |
+
"git_hash": "8281e96"
|
67 |
+
}
|
lm-eval-output/aisingapore/sealion3b/hellaswag/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:439702e38b89808bf72c0431d62b075de9b0d6554ca14731d9f179a0bb301aab
|
3 |
+
size 72242
|
lm-eval-output/aisingapore/sealion3b/kmmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
@@ -0,0 +1,2106 @@
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|
1 |
+
{
|
2 |
+
"results": {
|
3 |
+
"kmmlu": {
|
4 |
+
"acc,none": 0.289922032919434,
|
5 |
+
"acc_stderr,none": 0.028181923658183262,
|
6 |
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"acc_norm,none": 0.289922032919434,
|
7 |
+
"acc_norm_stderr,none": 0.028181923658183262,
|
8 |
+
"alias": "kmmlu"
|
9 |
+
},
|
10 |
+
"kmmlu_accounting": {
|
11 |
+
"acc,none": 0.28,
|
12 |
+
"acc_stderr,none": 0.04512608598542127,
|
13 |
+
"acc_norm,none": 0.28,
|
14 |
+
"acc_norm_stderr,none": 0.04512608598542127,
|
15 |
+
"alias": " - kmmlu_accounting"
|
16 |
+
},
|
17 |
+
"kmmlu_agricultural_sciences": {
|
18 |
+
"acc,none": 0.275,
|
19 |
+
"acc_stderr,none": 0.014127086556490526,
|
20 |
+
"acc_norm,none": 0.275,
|
21 |
+
"acc_norm_stderr,none": 0.014127086556490526,
|
22 |
+
"alias": " - kmmlu_agricultural_sciences"
|
23 |
+
},
|
24 |
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"kmmlu_aviation_engineering_and_maintenance": {
|
25 |
+
"acc,none": 0.296,
|
26 |
+
"acc_stderr,none": 0.014442734941575022,
|
27 |
+
"acc_norm,none": 0.296,
|
28 |
+
"acc_norm_stderr,none": 0.014442734941575022,
|
29 |
+
"alias": " - kmmlu_aviation_engineering_and_maintenance"
|
30 |
+
},
|
31 |
+
"kmmlu_biology": {
|
32 |
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"acc,none": 0.279,
|
33 |
+
"acc_stderr,none": 0.014190150117612032,
|
34 |
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"acc_norm,none": 0.279,
|
35 |
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"acc_norm_stderr,none": 0.014190150117612032,
|
36 |
+
"alias": " - kmmlu_biology"
|
37 |
+
},
|
38 |
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"kmmlu_chemical_engineering": {
|
39 |
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"acc,none": 0.25,
|
40 |
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"acc_stderr,none": 0.013699915608779773,
|
41 |
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"acc_norm,none": 0.25,
|
42 |
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"acc_norm_stderr,none": 0.013699915608779773,
|
43 |
+
"alias": " - kmmlu_chemical_engineering"
|
44 |
+
},
|
45 |
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"kmmlu_chemistry": {
|
46 |
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|
47 |
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"acc_stderr,none": 0.01777035645506745,
|
48 |
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|
49 |
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"acc_norm_stderr,none": 0.01777035645506745,
|
50 |
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"alias": " - kmmlu_chemistry"
|
51 |
+
},
|
52 |
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"kmmlu_civil_engineering": {
|
53 |
+
"acc,none": 0.318,
|
54 |
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|
55 |
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"acc_norm,none": 0.318,
|
56 |
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|
57 |
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"alias": " - kmmlu_civil_engineering"
|
58 |
+
},
|
59 |
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"kmmlu_computer_science": {
|
60 |
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"acc,none": 0.288,
|
61 |
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|
62 |
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"acc_norm,none": 0.288,
|
63 |
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"acc_norm_stderr,none": 0.01432694179723156,
|
64 |
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"alias": " - kmmlu_computer_science"
|
65 |
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},
|
66 |
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"kmmlu_construction": {
|
67 |
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|
68 |
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|
69 |
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"acc_norm,none": 0.3,
|
70 |
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"acc_norm_stderr,none": 0.014498627873361427,
|
71 |
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"alias": " - kmmlu_construction"
|
72 |
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},
|
73 |
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"kmmlu_criminal_law": {
|
74 |
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"acc,none": 0.28,
|
75 |
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"acc_stderr,none": 0.031828687164775826,
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}
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lm-eval-output/aisingapore/sealion3b/kmmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
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lm-eval-output/aisingapore/sealion3b/kobest/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
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@@ -0,0 +1,293 @@
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{
|
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"results": {
|
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"alias": " - kobest_boolq"
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},
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},
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"kobest_hellaswag": {
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|
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"alias": " - kobest_hellaswag"
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},
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|
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|
40 |
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"alias": " - kobest_sentineg"
|
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},
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|
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"alias": " - kobest_wic"
|
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}
|
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},
|
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|
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"alias": "kobest"
|
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}
|
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},
|
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"configs": {
|
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|
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"task": "kobest_boolq",
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"group": [
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"kobest"
|
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],
|
67 |
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"dataset_path": "skt/kobest_v1",
|
68 |
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"dataset_name": "boolq",
|
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"training_split": "train",
|
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"validation_split": "validation",
|
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"test_split": "test",
|
72 |
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"doc_to_text": "{{paragraph}} 질문: {{question}} 답변: ",
|
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"doc_to_target": "{{label}}",
|
74 |
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"doc_to_choice": [
|
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|
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"예"
|
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],
|
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"description": "",
|
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"target_delimiter": " ",
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"metric_list": [
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{
|
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"metric": "acc",
|
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"aggregation": "mean",
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"higher_is_better": true
|
86 |
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},
|
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{
|
88 |
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"metric": "f1",
|
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"aggregation": "def macro_f1_score(items):\n unzipped_list = list(zip(*items))\n golds = unzipped_list[0]\n preds = unzipped_list[1]\n fscore = f1_score(golds, preds, average='macro')\n return fscore\n",
|
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"average": "macro",
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|
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|
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],
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}
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},
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|
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],
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|
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|
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|
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"test_split": "test",
|
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"doc_to_text": "def copa_doc_to_text(doc: dict) -> str:\n connector = {\"원인\": \" 왜냐하면\", \"결과\": \" 그래서\"}[doc[\"question\"].strip()]\n return f\"\"\"{doc[\"premise\"]} {connector}\"\"\"\n",
|
113 |
+
"doc_to_target": "def copa_doc_to_target(doc: dict) -> str:\n correct_choice = doc[\"alternative_1\"] if doc[\"label\"] == 0 else doc[\"alternative_2\"]\n return f\"\"\"{correct_choice}\"\"\"\n",
|
114 |
+
"doc_to_choice": "def copa_doc_to_choice(doc: dict) -> list:\n return [f\"\"\"{doc[\"alternative_1\"]}\"\"\", f\"\"\"{doc[\"alternative_2\"]}\"\"\"]\n",
|
115 |
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"description": "",
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"target_delimiter": " ",
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"fewshot_delimiter": "\n\n",
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"metric_list": [
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{
|
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"metric": "acc",
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"higher_is_better": true
|
123 |
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},
|
124 |
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{
|
125 |
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"metric": "f1",
|
126 |
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"aggregation": "def macro_f1_score(items):\n unzipped_list = list(zip(*items))\n golds = unzipped_list[0]\n preds = unzipped_list[1]\n fscore = f1_score(golds, preds, average='macro')\n return fscore\n",
|
127 |
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"average": "macro",
|
128 |
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"hf_evaluate": true,
|
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"higher_is_better": true
|
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"metadata": {
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}
|
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},
|
139 |
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"kobest_hellaswag": {
|
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"task": "kobest_hellaswag",
|
141 |
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"group": [
|
142 |
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|
143 |
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],
|
144 |
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"dataset_path": "skt/kobest_v1",
|
145 |
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"dataset_name": "hellaswag",
|
146 |
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"training_split": "train",
|
147 |
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"validation_split": "validation",
|
148 |
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"test_split": "test",
|
149 |
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"process_docs": "def hellaswag_process_doc(doc: Dataset) -> Dataset:\n def preprocessor(dataset):\n return {\n \"query\": f\"\"\"문장: {dataset[\"context\"]}\"\"\",\n \"choices\": [dataset[\"ending_1\"], dataset[\"ending_2\"], dataset[\"ending_3\"], dataset[\"ending_4\"]],\n \"gold\": int(dataset[\"label\"]),\n }\n\n return doc.map(preprocessor)\n",
|
150 |
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"doc_to_text": "{{query}}",
|
151 |
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"doc_to_target": "{{label}}",
|
152 |
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"doc_to_choice": "choices",
|
153 |
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"description": "",
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154 |
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"target_delimiter": " ",
|
155 |
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"fewshot_delimiter": "\n\n",
|
156 |
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"metric_list": [
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157 |
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{
|
158 |
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"metric": "acc",
|
159 |
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"aggregation": "mean",
|
160 |
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"higher_is_better": true
|
161 |
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},
|
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{
|
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"metric": "acc_norm",
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"aggregation": "mean",
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165 |
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"higher_is_better": true
|
166 |
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},
|
167 |
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{
|
168 |
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"metric": "f1",
|
169 |
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"aggregation": "def macro_f1_score(items):\n unzipped_list = list(zip(*items))\n golds = unzipped_list[0]\n preds = unzipped_list[1]\n fscore = f1_score(golds, preds, average='macro')\n return fscore\n",
|
170 |
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"average": "macro",
|
171 |
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"hf_evaluate": true,
|
172 |
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"higher_is_better": true
|
173 |
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}
|
174 |
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],
|
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"output_type": "multiple_choice",
|
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"repeats": 1,
|
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|
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"metadata": {
|
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"version": 1.0
|
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}
|
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lm-eval-output/aisingapore/sealion3b/kobest/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
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lm-eval-output/aisingapore/sealion3b/lambada/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
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lm-eval-output/aisingapore/sealion3b/lambada/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
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size 22498
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lm-eval-output/aisingapore/sealion3b/lambada_cloze/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
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