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---
dataset_info:
- config_name: D1
features:
- name: version
dtype: string
- name: hypothesis
dtype: string
- name: hypothesis_formula
dtype: string
- name: facts
dtype: string
- name: facts_formula
dtype: string
- name: proofs
sequence: string
- name: proofs_formula
sequence: string
- name: negative_hypothesis
dtype: string
- name: negative_hypothesis_formula
dtype: string
- name: negative_proofs
sequence: string
- name: negative_original_tree_depth
dtype: int64
- name: original_tree_depth
dtype: int64
- name: depth
dtype: int64
- name: num_formula_distractors
dtype: int64
- name: num_translation_distractors
dtype: int64
- name: num_all_distractors
dtype: int64
- name: proof_label
dtype: string
- name: negative_proof_label
dtype: string
- name: world_assump_label
dtype: string
- name: negative_world_assump_label
dtype: string
- name: prompt_serial
dtype: string
- name: proof_serial
dtype: string
- name: instruction
dtype: string
- name: input
dtype: string
- name: response
dtype: string
splits:
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num_bytes: 108112082
num_examples: 20143
- name: validation
num_bytes: 18040312
num_examples: 3374
- name: test
num_bytes: 17777700
num_examples: 3323
download_size: 50969460
dataset_size: 143930094
- config_name: D1_minus
features:
- name: version
dtype: string
- name: hypothesis
dtype: string
- name: hypothesis_formula
dtype: string
- name: facts
dtype: string
- name: facts_formula
dtype: string
- name: proofs
sequence: string
- name: proofs_formula
sequence: string
- name: negative_hypothesis
dtype: 'null'
- name: negative_hypothesis_formula
dtype: 'null'
- name: negative_proofs
sequence: 'null'
- name: negative_original_tree_depth
dtype: 'null'
- name: original_tree_depth
dtype: int64
- name: depth
dtype: int64
- name: num_formula_distractors
dtype: int64
- name: num_translation_distractors
dtype: int64
- name: num_all_distractors
dtype: int64
- name: proof_label
dtype: string
- name: negative_proof_label
dtype: 'null'
- name: world_assump_label
dtype: string
- name: negative_world_assump_label
dtype: 'null'
- name: prompt_serial
dtype: string
- name: proof_serial
dtype: string
- name: instruction
dtype: string
- name: input
dtype: string
- name: response
dtype: string
splits:
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num_examples: 20082
- name: validation
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num_examples: 3349
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num_examples: 3374
download_size: 8783646
dataset_size: 31928783
- config_name: D3
features:
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dtype: string
- name: hypothesis
dtype: string
- name: hypothesis_formula
dtype: string
- name: facts
dtype: string
- name: facts_formula
dtype: string
- name: proofs
sequence: string
- name: proofs_formula
sequence: string
- name: negative_hypothesis
dtype: string
- name: negative_hypothesis_formula
dtype: string
- name: negative_proofs
sequence: string
- name: negative_original_tree_depth
dtype: int64
- name: original_tree_depth
dtype: int64
- name: depth
dtype: int64
- name: num_formula_distractors
dtype: int64
- name: num_translation_distractors
dtype: int64
- name: num_all_distractors
dtype: int64
- name: proof_label
dtype: string
- name: negative_proof_label
dtype: string
- name: world_assump_label
dtype: string
- name: negative_world_assump_label
dtype: string
- name: prompt_serial
dtype: string
- name: proof_serial
dtype: string
- name: instruction
dtype: string
- name: input
dtype: string
- name: response
dtype: string
splits:
- name: train
num_bytes: 126666437
num_examples: 20166
- name: validation
num_bytes: 20727548
num_examples: 3340
- name: test
num_bytes: 20914914
num_examples: 3310
download_size: 59393588
dataset_size: 168308899
- config_name: D8
features:
- name: version
dtype: string
- name: hypothesis
dtype: string
- name: hypothesis_formula
dtype: string
- name: facts
dtype: string
- name: facts_formula
dtype: string
- name: proofs
sequence: string
- name: proofs_formula
sequence: string
- name: negative_hypothesis
dtype: string
- name: negative_hypothesis_formula
dtype: string
- name: negative_proofs
sequence: string
- name: negative_original_tree_depth
dtype: int64
- name: original_tree_depth
dtype: int64
- name: depth
dtype: int64
- name: num_formula_distractors
dtype: int64
- name: num_translation_distractors
dtype: int64
- name: num_all_distractors
dtype: int64
- name: proof_label
dtype: string
- name: negative_proof_label
dtype: string
- name: world_assump_label
dtype: string
- name: negative_world_assump_label
dtype: string
- name: prompt_serial
dtype: string
- name: proof_serial
dtype: string
- name: instruction
dtype: string
- name: input
dtype: string
- name: response
dtype: string
splits:
- name: train
num_bytes: 167341010
num_examples: 20190
- name: validation
num_bytes: 28183984
num_examples: 3409
- name: test
num_bytes: 27682859
num_examples: 3352
download_size: 76744182
dataset_size: 223207853
configs:
- config_name: D1
data_files:
- split: train
path: D1/train-*
- split: validation
path: D1/validation-*
- split: test
path: D1/test-*
- config_name: D1_minus
data_files:
- split: train
path: D1_minus/train-*
- split: validation
path: D1_minus/validation-*
- split: test
path: D1_minus/test-*
- config_name: D3
data_files:
- split: train
path: D3/train-*
- split: validation
path: D3/validation-*
- split: test
path: D3/test-*
- config_name: D8
data_files:
- split: train
path: D8/train-*
- split: validation
path: D8/validation-*
- split: test
path: D8/test-*
license: apache-2.0
---
以下のデータセットに、学習用のカラム(instruction, input, response)を追加して作成しました。
https://github.com/hitachi-nlp/FLD
https://huggingface.co/datasets/hitachi-nlp/JFLD
proof_serialが__UNKNOWN__となるデータは含まれません。
## Citation
```
@inproceedings{morishita2024jfld,
title = {JFLD: A Japanese Benchmark for Deductive Reasoning based on Formal Logic},
author = {Morishita, Terufumi and Yamaguchi, Atsuki and Morio, Gaku and Hikaru, Tomonari and Osamu Imaichi and Sogawa, Yasuhiro},
booktitle = {Proceedings of the Joint International Conference on Computational Linguistics, Language Resources and Evaluation},
year = {2024}
}
@inproceedings{morishita2023fld,
title = {Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic},
author = {Morishita, Terufumi and Morio, Gaku and Yamaguchi, Atsuki and Sogawa, Yasuhiro},
booktitle = {Proceedings of the 40th International Conference on Machine Learning},
year = {2023}
}
``` |