metadata
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: negative_hypothesis
dtype: string
- name: negative_hypothesis_formula
dtype: 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: facts
dtype: string
- name: facts_formula
dtype: string
- name: proofs
sequence: string
- name: proofs_formula
sequence: string
- name: negative_proofs
sequence: string
- name: prompt_serial
dtype: string
- name: proof_serial
dtype: string
splits:
- name: train
num_bytes: 126945152
num_examples: 30000
- name: validation
num_bytes: 21067447
num_examples: 5000
- name: test
num_bytes: 21287828
num_examples: 5000
download_size: 61766317
dataset_size: 169300427
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.