| license: mit | |
| task_categories: | |
| - text-generation | |
| dataset_info: | |
| features: | |
| - name: preds | |
| sequence: string | |
| - name: rules | |
| sequence: | |
| - name: premises | |
| sequence: string | |
| - name: conclusion | |
| dtype: string | |
| - name: facts | |
| sequence: string | |
| - name: query | |
| dtype: string | |
| - name: label | |
| dtype: int64 | |
| - name: depth | |
| dtype: int64 | |
| splits: | |
| - name: train_lp_downsampled | |
| num_bytes: 659503714 | |
| num_examples: 700000 | |
| - name: train_rp_balanced_downsampled | |
| num_bytes: 850381210 | |
| num_examples: 700000 | |
| - name: validation_lp | |
| num_bytes: 6625773 | |
| num_examples: 7000 | |
| - name: validation_lp_balanced | |
| num_bytes: 7651259 | |
| num_examples: 7000 | |
| - name: validation_lp_balanced_deep_30_pred | |
| num_bytes: 15515151 | |
| num_examples: 13000 | |
| - name: validation_lp_balanced_deep_60_pred | |
| num_bytes: 27707171 | |
| num_examples: 13000 | |
| - name: validation_lp_star_balanced_deep_30_pred | |
| num_bytes: 16249806 | |
| num_examples: 13000 | |
| - name: validation_lp_star_balanced_deep_60_pred | |
| num_bytes: 25884528 | |
| num_examples: 13000 | |
| - name: validation_rp | |
| num_bytes: 7501908 | |
| num_examples: 7000 | |
| - name: validation_rp_balanced | |
| num_bytes: 8551772 | |
| num_examples: 7000 | |
| - name: validation_rp_balanced_deep_30_pred | |
| num_bytes: 19016725 | |
| num_examples: 13000 | |
| - name: validation_rp_balanced_deep_60_pred | |
| num_bytes: 32788646 | |
| num_examples: 13000 | |
| - name: validation_rp_balanced_3_premise | |
| num_bytes: 11934368 | |
| num_examples: 7000 | |
| - name: validation_rp_balanced_2_premise | |
| num_bytes: 8774321 | |
| num_examples: 7000 | |
| - name: validation_rp_balanced_1_premise | |
| num_bytes: 5474611 | |
| num_examples: 7000 | |
| - name: validation_rp_balanced_1_2_premise | |
| num_bytes: 6996474 | |
| num_examples: 7000 | |
| - name: validation_rp_balanced_2_3_premise | |
| num_bytes: 10312203 | |
| num_examples: 7000 | |
| download_size: 268682683 | |
| dataset_size: 1720869640 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train_lp_downsampled | |
| path: data/train_lp_downsampled-* | |
| - split: train_rp_balanced_downsampled | |
| path: data/train_rp_balanced_downsampled-* | |
| - split: validation_lp | |
| path: data/validation_lp-* | |
| - split: validation_lp_balanced | |
| path: data/validation_lp_balanced-* | |
| - split: validation_lp_balanced_deep_30_pred | |
| path: data/validation_lp_balanced_deep_30_pred-* | |
| - split: validation_lp_balanced_deep_60_pred | |
| path: data/validation_lp_balanced_deep_60_pred-* | |
| - split: validation_lp_star_balanced_deep_30_pred | |
| path: data/validation_lp_star_balanced_deep_30_pred-* | |
| - split: validation_lp_star_balanced_deep_60_pred | |
| path: data/validation_lp_star_balanced_deep_60_pred-* | |
| - split: validation_rp | |
| path: data/validation_rp-* | |
| - split: validation_rp_balanced | |
| path: data/validation_rp_balanced-* | |
| - split: validation_rp_balanced_deep_30_pred | |
| path: data/validation_rp_balanced_deep_30_pred-* | |
| - split: validation_rp_balanced_deep_60_pred | |
| path: data/validation_rp_balanced_deep_60_pred-* | |
| - split: validation_rp_balanced_3_premise | |
| path: data/validation_rp_balanced_3_premise-* | |
| - split: validation_rp_balanced_2_premise | |
| path: data/validation_rp_balanced_2_premise-* | |
| - split: validation_rp_balanced_1_premise | |
| path: data/validation_rp_balanced_1_premise-* | |
| - split: validation_rp_balanced_1_2_premise | |
| path: data/validation_rp_balanced_1_2_premise-* | |
| - split: validation_rp_balanced_2_3_premise | |
| path: data/validation_rp_balanced_2_3_premise-* | |
| This dataset accompanies the paper [The Scaling Properties of Implicit Deductive Reasoning in Transformers](https://huggingface.co/papers/2605.04330). It contains synthetic Horn clause reasoning problems with features such as rules, facts, queries, and labels, designed to study implicit deductive reasoning in depth-bounded Transformers. | |
| Code for dataset generation, model training, and evaluation is available at: [https://github.com/envomp/Implicit-Deductive-Reasoning-in-Transformers](https://github.com/envomp/Implicit-Deductive-Reasoning-in-Transformers) |