|
--- |
|
dataset_info: |
|
- config_name: default |
|
features: |
|
- name: version |
|
dtype: string |
|
- name: hypothesis |
|
dtype: string |
|
- name: hypothesis_formula |
|
dtype: string |
|
- name: context |
|
dtype: string |
|
- name: context_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 |
|
splits: |
|
- name: train |
|
num_bytes: 101861795 |
|
num_examples: 30000 |
|
- name: validation |
|
num_bytes: 16956757 |
|
num_examples: 5000 |
|
- name: test |
|
num_bytes: 16952009 |
|
num_examples: 5000 |
|
download_size: 50451962 |
|
dataset_size: 135770561 |
|
- config_name: star |
|
features: |
|
- name: version |
|
dtype: string |
|
- name: hypothesis |
|
dtype: string |
|
- name: hypothesis_formula |
|
dtype: string |
|
- name: context |
|
dtype: string |
|
- name: context_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 |
|
splits: |
|
- name: train |
|
num_bytes: 126525152 |
|
num_examples: 30000 |
|
- name: validation |
|
num_bytes: 20997447 |
|
num_examples: 5000 |
|
- name: test |
|
num_bytes: 21217828 |
|
num_examples: 5000 |
|
download_size: 61741466 |
|
dataset_size: 168740427 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
- split: validation |
|
path: data/validation-* |
|
- split: test |
|
path: data/test-* |
|
- config_name: star |
|
data_files: |
|
- split: train |
|
path: star/train-* |
|
- split: validation |
|
path: star/validation-* |
|
- split: test |
|
path: star/test-* |
|
--- |
|
# Dataset Card for "FLD.v2" |
|
To train a casual language model, simply use "prompt_serial" column for the model input and "proof_serial" for the output. |
|
For more info, see [our project page](https://github.com/hitachi-nlp/FLD/). |
|
|
|
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
