hitachi-nlp/JFLD_NLP_2024_proceeding_reproduction
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https://hf-mirror.com/datasets/hitachi-nlp/JFLD_NLP_2024_proceeding_reproduction
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资源简介:
---
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: prompt_serial_formula
dtype: string
- name: proof_serial_formula
dtype: string
splits:
- name: train
num_bytes: 126055185
num_examples: 30000
- name: validation
num_bytes: 21045114
num_examples: 5000
- name: test
num_bytes: 21111881
num_examples: 5000
download_size: 59655862
dataset_size: 168212180
- 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: prompt_serial_formula
dtype: string
- name: proof_serial_formula
dtype: string
splits:
- name: train
num_bytes: 27344588
num_examples: 30000
- name: validation
num_bytes: 4570595
num_examples: 5000
- name: test
num_bytes: 4526013
num_examples: 5000
download_size: 10959467
dataset_size: 36441196
- config_name: D3
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: prompt_serial_formula
dtype: string
- name: proof_serial_formula
dtype: string
splits:
- name: train
num_bytes: 144287506
num_examples: 30000
- name: validation
num_bytes: 23744356
num_examples: 5000
- name: test
num_bytes: 24230088
num_examples: 5000
download_size: 68178239
dataset_size: 192261950
- 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: prompt_serial_formula
dtype: string
- name: proof_serial_formula
dtype: string
splits:
- name: train
num_bytes: 182290396
num_examples: 30000
- name: validation
num_bytes: 30145838
num_examples: 5000
- name: test
num_bytes: 30190990
num_examples: 5000
download_size: 84423463
dataset_size: 242627224
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-*
---
# Dataset Card for "JFLD_NLP_2024_proceeding_reproduction"
See [here](https://github.com/hitachi-nlp/FLD-corpus.git) for the details of this corpus.
For the whole of the project, 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)
数据集信息:
- config_name: D1
features:
- 字段名:version,数据类型:字符串
- 字段名:hypothesis,数据类型:字符串
- 字段名:hypothesis_formula,数据类型:字符串
- 字段名:facts,数据类型:字符串
- 字段名:facts_formula,数据类型:字符串
- 字段名:proofs,数据类型:字符串序列
- 字段名:proofs_formula,数据类型:字符串序列
- 字段名:negative_hypothesis,数据类型:字符串
- 字段名:negative_hypothesis_formula,数据类型:字符串
- 字段名:negative_proofs,数据类型:字符串序列
- 字段名:negative_original_tree_depth,数据类型:64位整数
- 字段名:original_tree_depth,数据类型:64位整数
- 字段名:depth,数据类型:64位整数
- 字段名:num_formula_distractors,数据类型:64位整数
- 字段名:num_translation_distractors,数据类型:64位整数
- 字段名:num_all_distractors,数据类型:64位整数
- 字段名:proof_label,数据类型:字符串
- 字段名:negative_proof_label,数据类型:字符串
- 字段名:world_assump_label,数据类型:字符串
- 字段名:negative_world_assump_label,数据类型:字符串
- 字段名:prompt_serial,数据类型:字符串
- 字段名:proof_serial,数据类型:字符串
- 字段名:prompt_serial_formula,数据类型:字符串
- 字段名:proof_serial_formula,数据类型:字符串
splits:
- 划分名称:train(训练集),字节占用:126055185,样本数:30000
- 划分名称:validation(验证集),字节占用:21045114,样本数:5000
- 划分名称:test(测试集),字节占用:21111881,样本数:5000
下载总大小:59655862
数据集总占用大小:168212180
- config_name: D1_minus
features:
- 字段名:version,数据类型:字符串
- 字段名:hypothesis,数据类型:字符串
- 字段名:hypothesis_formula,数据类型:字符串
- 字段名:facts,数据类型:字符串
- 字段名:facts_formula,数据类型:字符串
- 字段名:proofs,数据类型:字符串序列
- 字段名:proofs_formula,数据类型:字符串序列
- 字段名:negative_hypothesis,数据类型:空(无此字段)
- 字段名:negative_hypothesis_formula,数据类型:空(无此字段)
- 字段名:negative_proofs,数据类型:空(无此字段)
- 字段名:negative_original_tree_depth,数据类型:空(无此字段)
- 字段名:original_tree_depth,数据类型:64位整数
- 字段名:depth,数据类型:64位整数
- 字段名:num_formula_distractors,数据类型:64位整数
- 字段名:num_translation_distractors,数据类型:64位整数
- 字段名:num_all_distractors,数据类型:64位整数
- 字段名:proof_label,数据类型:字符串
- 字段名:negative_proof_label,数据类型:空(无此字段)
- 字段名:world_assump_label,数据类型:字符串
- 字段名:negative_world_assump_label,数据类型:空(无此字段)
- 字段名:prompt_serial,数据类型:字符串
- 字段名:proof_serial,数据类型:字符串
- 字段名:prompt_serial_formula,数据类型:字符串
- 字段名:proof_serial_formula,数据类型:字符串
splits:
- 划分名称:train(训练集),字节占用:27344588,样本数:30000
- 划分名称:validation(验证集),字节占用:4570595,样本数:5000
- 划分名称:test(测试集),字节占用:4526013,样本数:5000
下载总大小:10959467
数据集总占用大小:36441196
- config_name: D3
features:
- 字段名:version,数据类型:字符串
- 字段名:hypothesis,数据类型:字符串
- 字段名:hypothesis_formula,数据类型:字符串
- 字段名:facts,数据类型:字符串
- 字段名:facts_formula,数据类型:字符串
- 字段名:proofs,数据类型:字符串序列
- 字段名:proofs_formula,数据类型:字符串序列
- 字段名:negative_hypothesis,数据类型:字符串
- 字段名:negative_hypothesis_formula,数据类型:字符串
- 字段名:negative_proofs,数据类型:字符串序列
- 字段名:negative_original_tree_depth,数据类型:64位整数
- 字段名:original_tree_depth,数据类型:64位整数
- 字段名:depth,数据类型:64位整数
- 字段名:num_formula_distractors,数据类型:64位整数
- 字段名:num_translation_distractors,数据类型:64位整数
- 字段名:num_all_distractors,数据类型:64位整数
- 字段名:proof_label,数据类型:字符串
- 字段名:negative_proof_label,数据类型:字符串
- 字段名:world_assump_label,数据类型:字符串
- 字段名:negative_world_assump_label,数据类型:字符串
- 字段名:prompt_serial,数据类型:字符串
- 字段名:proof_serial,数据类型:字符串
- 字段名:prompt_serial_formula,数据类型:字符串
- 字段名:proof_serial_formula,数据类型:字符串
splits:
- 划分名称:train(训练集),字节占用:144287506,样本数:30000
- 划分名称:validation(验证集),字节占用:23744356,样本数:5000
- 划分名称:test(测试集),字节占用:24230088,样本数:5000
下载总大小:68178239
数据集总占用大小:192261950
- config_name: D8
features:
- 字段名:version,数据类型:字符串
- 字段名:hypothesis,数据类型:字符串
- 字段名:hypothesis_formula,数据类型:字符串
- 字段名:facts,数据类型:字符串
- 字段名:facts_formula,数据类型:字符串
- 字段名:proofs,数据类型:字符串序列
- 字段名:proofs_formula,数据类型:字符串序列
- 字段名:negative_hypothesis,数据类型:字符串
- 字段名:negative_hypothesis_formula,数据类型:字符串
- 字段名:negative_proofs,数据类型:字符串序列
- 字段名:negative_original_tree_depth,数据类型:64位整数
- 字段名:original_tree_depth,数据类型:64位整数
- 字段名:depth,数据类型:64位整数
- 字段名:num_formula_distractors,数据类型:64位整数
- 字段名:num_translation_distractors,数据类型:64位整数
- 字段名:num_all_distractors,数据类型:64位整数
- 字段名:proof_label,数据类型:字符串
- 字段名:negative_proof_label,数据类型:字符串
- 字段名:world_assump_label,数据类型:字符串
- 字段名:negative_world_assump_label,数据类型:字符串
- 字段名:prompt_serial,数据类型:字符串
- 字段名:proof_serial,数据类型:字符串
- 字段名:prompt_serial_formula,数据类型:字符串
- 字段名:proof_serial_formula,数据类型:字符串
splits:
- 划分名称:train(训练集),字节占用:182290396,样本数:30000
- 划分名称:validation(验证集),字节占用:30145838,样本数:5000
- 划分名称:test(测试集),字节占用:30190990,样本数:5000
下载总大小:84423463
数据集总占用大小:242627224
configs:
- config_name: D1
data_files:
- 划分:train(训练集),路径:D1/train-*
- 划分:validation(验证集),路径:D1/validation-*
- 划分:test(测试集),路径:D1/test-*
- config_name: D1_minus
data_files:
- 划分:train(训练集),路径:D1_minus/train-*
- 划分:validation(验证集),路径:D1_minus/validation-*
- 划分:test(测试集),路径:D1_minus/test-*
- config_name: D3
data_files:
- 划分:train(训练集),路径:D3/train-*
- 划分:validation(验证集),路径:D3/validation-*
- 划分:test(测试集),路径:D3/test-*
- config_name: D8
data_files:
- 划分:train(训练集),路径:D8/train-*
- 划分:validation(验证集),路径:D8/validation-*
- 划分:test(测试集),路径:D8/test-*
---
# 数据集卡片:"JFLD_NLP_2024_proceeding_reproduction"
有关该语料库的详细信息,请参阅[此处](https://github.com/hitachi-nlp/FLD-corpus.git)。
有关整个项目的详情,请访问[我们的项目页面](https://github.com/hitachi-nlp/FLD/)。
[需补充更多信息](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
提供机构:
hitachi-nlp原始信息汇总
数据集概述
数据集配置
配置 D1
- 特征:
version: stringhypothesis: stringhypothesis_formula: stringfacts: stringfacts_formula: stringproofs: sequence of stringproofs_formula: sequence of stringnegative_hypothesis: stringnegative_hypothesis_formula: stringnegative_proofs: sequence of stringnegative_original_tree_depth: int64original_tree_depth: int64depth: int64num_formula_distractors: int64num_translation_distractors: int64num_all_distractors: int64proof_label: stringnegative_proof_label: stringworld_assump_label: stringnegative_world_assump_label: stringprompt_serial: stringproof_serial: stringprompt_serial_formula: stringproof_serial_formula: string
- 分割:
train: 126055185 字节, 30000 样本validation: 21045114 字节, 5000 样本test: 21111881 字节, 5000 样本
- 下载大小: 59655862 字节
- 数据集大小: 168212180 字节
配置 D1_minus
- 特征:
version: stringhypothesis: stringhypothesis_formula: stringfacts: stringfacts_formula: stringproofs: sequence of stringproofs_formula: sequence of stringnegative_hypothesis: nullnegative_hypothesis_formula: nullnegative_proofs: sequence of nullnegative_original_tree_depth: nulloriginal_tree_depth: int64depth: int64num_formula_distractors: int64num_translation_distractors: int64num_all_distractors: int64proof_label: stringnegative_proof_label: nullworld_assump_label: stringnegative_world_assump_label: nullprompt_serial: stringproof_serial: stringprompt_serial_formula: stringproof_serial_formula: string
- 分割:
train: 27344588 字节, 30000 样本validation: 4570595 字节, 5000 样本test: 4526013 字节, 5000 样本
- 下载大小: 10959467 字节
- 数据集大小: 36441196 字节
配置 D3
- 特征:
version: stringhypothesis: stringhypothesis_formula: stringfacts: stringfacts_formula: stringproofs: sequence of stringproofs_formula: sequence of stringnegative_hypothesis: stringnegative_hypothesis_formula: stringnegative_proofs: sequence of stringnegative_original_tree_depth: int64original_tree_depth: int64depth: int64num_formula_distractors: int64num_translation_distractors: int64num_all_distractors: int64proof_label: stringnegative_proof_label: stringworld_assump_label: stringnegative_world_assump_label: stringprompt_serial: stringproof_serial: stringprompt_serial_formula: stringproof_serial_formula: string
- 分割:
train: 144287506 字节, 30000 样本validation: 23744356 字节, 5000 样本test: 24230088 字节, 5000 样本
- 下载大小: 68178239 字节
- 数据集大小: 192261950 字节
配置 D8
- 特征:
version: stringhypothesis: stringhypothesis_formula: stringfacts: stringfacts_formula: stringproofs: sequence of stringproofs_formula: sequence of stringnegative_hypothesis: stringnegative_hypothesis_formula: stringnegative_proofs: sequence of stringnegative_original_tree_depth: int64original_tree_depth: int64depth: int64num_formula_distractors: int64num_translation_distractors: int64num_all_distractors: int64proof_label: stringnegative_proof_label: stringworld_assump_label: stringnegative_world_assump_label: stringprompt_serial: stringproof_serial: stringprompt_serial_formula: stringproof_serial_formula: string
- 分割:
train: 182290396 字节, 30000 样本validation: 30145838 字节, 5000 样本test: 30190990 字节, 5000 样本
- 下载大小: 84423463 字节
- 数据集大小: 242627224 字节
数据文件路径
- D1:
train: D1/train-*validation: D1/validation-*test: D1/test-*
- D1_minus:
train: D1_minus/train-*validation: D1_minus/validation-*test: D1_minus/test-*
- D3:
train: D3/train-*validation: D3/validation-*test: D3/test-*
- D8:
train: D8/train-*validation: D8/validation-*test: D8/test-*



