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computational_limits_of_implicit_deductive_reasoning

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computational_limits_of_implicit_deductive_reasoning
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---
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
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    num_examples: 13000
  - name: validation_rp_balanced_deep_60_pred
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    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)