Dataset Card: CoT-Collection
This dataset encompasses a variety of tasks aimed at necessitating reasoning and diverse Chain-of-Thought strategies. While some tasks are intentionally simple and require minimal reasoning, others are more complex.
Note that Big Bench Hard includes 27 different tasks.
Also Note that the test set has a significantly different task distribution compared to the training set.
The dataset includes GPQA, which should not be published in plain text online.
Designed for reinforcement learning, this dataset lacks Chain-of-Thought annotations for the problems. It only provides questions and answers. However, a subset with automated Chain-of-Thought annotations is available here: jeggers/CoT-Collection-Rationales.
The dataset consists of short questions, each with a maximum of 200 tokens for the question and correct answer (using the llama-2 tokenizer).
This dataset is divided into four splits:
train: The training set.test_in_dist: The test set with the same task distribution as the training set.finetune: Intended for finetuning, with the same distribution astrain.test_out_dist: The test set with a different task distribution than the training set.
The Code used to create this dataset can be found here: dataset-builder.
Statistics for the training set (62000 samples)
| Dataset | Proportion | Absolute | Random correct accuracy |
|---|---|---|---|
| Total | 100.00% | 61972 | 19.23% |
| big bench hard | 6.65% | 4123 | 15.82% |
| MathQA | 5.44% | 3369 | 22.25% |
| MATH | 5.43% | 3368 | 4.29% |
| crosswords | 5.43% | 3368 | 0.12% |
| ape210k | 5.43% | 3368 | 2.08% |
| MMLU-Pro | 5.43% | 3368 | 11.68% |
| DMath | 5.43% | 3368 | 4.12% |
| SuperGLUE rte | 2.71% | 1682 | 50.16% |
| SuperGLUE wic | 2.71% | 1682 | 50.00% |
| SuperGLUE boolq | 2.71% | 1682 | 62.31% |
| strategy-qa | 2.71% | 1681 | 53.23% |
| ARC challenge | 2.71% | 1681 | 25.79% |
| jeopardy | 2.71% | 1681 | 0.11% |
| hellaswag | 2.71% | 1681 | 25.06% |
| winogrande | 2.71% | 1681 | 50.01% |
| riddle sense | 2.71% | 1681 | 20.64% |
| com2sense | 2.71% | 1681 | 50.00% |
| ANLI | 2.71% | 1681 | 40.51% |
| reverse words | 2.71% | 1681 | 0.01% |
| ARC easy | 2.71% | 1681 | 24.86% |
| drop single number | 2.71% | 1681 | 12.50% |
| logiqa2 | 2.71% | 1681 | 26.70% |
| hotpot qa hard | 2.71% | 1681 | 3.24% |
| asdiv | 2.58% | 1598 | 3.78% |
| reversal curse | 1.89% | 1172 | 0.26% |
| count chars in scrambled words | 1.35% | 838 | 16.68% |
| count words in paragraph | 1.35% | 838 | 2.08% |
| count chars in paragraph | 1.35% | 838 | 0.96% |
| count chars in english words | 1.35% | 838 | 16.68% |
| reclor | 1.35% | 834 | 25.28% |
| svamp | 1.25% | 774 | 7.70% |
| AIME | 1.06% | 654 | 0.96% |
| truthful qa | 1.01% | 624 | 22.40% |
| SuperGLUE WSC | 0.69% | 429 | 53.25% |
| LSAT-LR | 0.53% | 327 | 21.35% |
| SuperGLUE copa | 0.50% | 309 | 51.25% |
| SAT Analogies | 0.47% | 289 | 24.40% |
| SuperGLUE cb | 0.28% | 172 | 47.60% |
| LSAT-AR | 0.23% | 142 | 20.53% |
| RACE high school | 0.10% | 62 | 27.02% |
| SuperGLUE multirc | 0.00% | 3 | 55.86% |
Statistics for the out of distribution test set (2731 samples)
| Dataset | Proportion | Absolute | Random correct accuracy |
|---|---|---|---|
| Total | 100.00% | 2731 | 14.00% |
| gsm8k | 36.58% | 999 | 3.20% |
| last letter concat | 18.31% | 500 | 0.60% |
| codah | 18.31% | 500 | 26.80% |
| coin flip | 9.15% | 250 | 52.40% |
| AIW | 7.32% | 200 | 22.00% |
| AIW+ | 7.03% | 192 | 6.25% |
| gpqa diamond | 3.30% | 90 | 29.29% |
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