Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
natural-language-inference
Languages:
English
Size:
10K - 100K
License:
metadata
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
language:
- en
license: bsd
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- natural-language-inference
pretty_name: babi_nli
tags:
- logical reasoning
- nli
- natural-language-inference
- reasoning
- logic
dataset_info:
- config_name: counting
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': not-entailed
'1': entailed
- name: idx
dtype: int32
splits:
- name: train
num_bytes: 325802
num_examples: 1000
- name: validation
num_bytes: 154693
num_examples: 500
- name: test
num_bytes: 154519
num_examples: 500
download_size: 119022
dataset_size: 635014
- config_name: lists-sets
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': not-entailed
'1': entailed
- name: idx
dtype: int32
splits:
- name: train
num_bytes: 301224
num_examples: 1000
- name: validation
num_bytes: 149567
num_examples: 500
- name: test
num_bytes: 153024
num_examples: 500
download_size: 119319
dataset_size: 603815
- config_name: simple-negation
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': not-entailed
'1': entailed
- name: idx
dtype: int32
splits:
- name: train
num_bytes: 218297
num_examples: 1000
- name: validation
num_bytes: 110967
num_examples: 500
- name: test
num_bytes: 107212
num_examples: 500
download_size: 88932
dataset_size: 436476
- config_name: single-supporting-fact
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': not-entailed
'1': entailed
- name: idx
dtype: int32
splits:
- name: train
num_bytes: 223761
num_examples: 1000
- name: validation
num_bytes: 112784
num_examples: 500
- name: test
num_bytes: 111569
num_examples: 500
download_size: 91968
dataset_size: 448114
- config_name: three-arg-relations
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': not-entailed
'1': entailed
- name: idx
dtype: int32
splits:
- name: train
num_bytes: 598485
num_examples: 1000
- name: validation
num_bytes: 312900
num_examples: 500
- name: test
num_bytes: 324225
num_examples: 500
download_size: 243096
dataset_size: 1235610
- config_name: three-supporting-facts
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': not-entailed
'1': entailed
- name: idx
dtype: int32
splits:
- name: train
num_bytes: 1479097
num_examples: 1000
- name: validation
num_bytes: 783450
num_examples: 500
- name: test
num_bytes: 735719
num_examples: 500
download_size: 558073
dataset_size: 2998266
- config_name: two-arg-relations
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': not-entailed
'1': entailed
- name: idx
dtype: int32
splits:
- name: train
num_bytes: 122565
num_examples: 1000
- name: validation
num_bytes: 61228
num_examples: 500
- name: test
num_bytes: 61170
num_examples: 500
download_size: 54533
dataset_size: 244963
- config_name: two-supporting-facts
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': not-entailed
'1': entailed
- name: idx
dtype: int32
splits:
- name: train
num_bytes: 507085
num_examples: 1000
- name: validation
num_bytes: 261742
num_examples: 500
- name: test
num_bytes: 244322
num_examples: 500
download_size: 194986
dataset_size: 1013149
- config_name: yes-no-questions
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': not-entailed
'1': entailed
- name: idx
dtype: int32
splits:
- name: train
num_bytes: 230579
num_examples: 1000
- name: validation
num_bytes: 115915
num_examples: 500
- name: test
num_bytes: 113022
num_examples: 500
download_size: 94399
dataset_size: 459516
configs:
- config_name: counting
data_files:
- split: train
path: counting/train-*
- split: validation
path: counting/validation-*
- split: test
path: counting/test-*
- config_name: lists-sets
data_files:
- split: train
path: lists-sets/train-*
- split: validation
path: lists-sets/validation-*
- split: test
path: lists-sets/test-*
- config_name: simple-negation
data_files:
- split: train
path: simple-negation/train-*
- split: validation
path: simple-negation/validation-*
- split: test
path: simple-negation/test-*
- config_name: single-supporting-fact
data_files:
- split: train
path: single-supporting-fact/train-*
- split: validation
path: single-supporting-fact/validation-*
- split: test
path: single-supporting-fact/test-*
- config_name: three-arg-relations
data_files:
- split: train
path: three-arg-relations/train-*
- split: validation
path: three-arg-relations/validation-*
- split: test
path: three-arg-relations/test-*
- config_name: three-supporting-facts
data_files:
- split: train
path: three-supporting-facts/train-*
- split: validation
path: three-supporting-facts/validation-*
- split: test
path: three-supporting-facts/test-*
- config_name: two-arg-relations
data_files:
- split: train
path: two-arg-relations/train-*
- split: validation
path: two-arg-relations/validation-*
- split: test
path: two-arg-relations/test-*
- config_name: two-supporting-facts
data_files:
- split: train
path: two-supporting-facts/train-*
- split: validation
path: two-supporting-facts/validation-*
- split: test
path: two-supporting-facts/test-*
- config_name: yes-no-questions
data_files:
- split: train
path: yes-no-questions/train-*
- split: validation
path: yes-no-questions/validation-*
- split: test
path: yes-no-questions/test-*
bAbi_nli
bAbI tasks recasted as natural language inference. https://github.com/facebookarchive/bAbI-tasks
tasksource recasting code: https://colab.research.google.com/drive/1J_RqDSw9iPxJSBvCJu-VRbjXnrEjKVvr?usp=sharing
@article{weston2015towards,
title={Towards ai-complete question answering: A set of prerequisite toy tasks},
author={Weston, Jason and Bordes, Antoine and Chopra, Sumit and Rush, Alexander M and Van Merri{\"e}nboer, Bart and Joulin, Armand and Mikolov, Tomas},
journal={arXiv preprint arXiv:1502.05698},
year={2015}
}