Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
License:
metadata
language:
- en
license: mit
task_categories:
- question-answering
pretty_name: bAbI divided by task
description: >-
These tasks measure understanding in several ways: whether a system is able to
answer questions via chaining facts, simple induction, deduction and many
more. The tasks are designed to be prerequisites for any system that aims to
be capable of conversing with a human.
configs:
- config_name: task_1-single_supporting_fact
data_files:
- split: train
path: data/task_1-single_supporting_fact/babi-train.parquet
- split: test
path: data/task_1-single_supporting_fact/babi-test.parquet
- split: validation
path: data/task_1-single_supporting_fact/babi-validation.parquet
- config_name: task_2-two_supporting_facts
data_files:
- split: train
path: data/task_2-two_supporting_facts/babi-train.parquet
- split: test
path: data/task_2-two_supporting_facts/babi-test.parquet
- split: validation
path: data/task_2-two_supporting_facts/babi-validation.parquet
- config_name: task_3-three_supporting_facts
data_files:
- split: train
path: data/task_3-three_supporting_facts/babi-train.parquet
- split: test
path: data/task_3-three_supporting_facts/babi-test.parquet
- split: validation
path: data/task_3-three_supporting_facts/babi-validation.parquet
- config_name: task_4-two_argument_relations
data_files:
- split: train
path: data/task_4-two_argument_relations/babi-train.parquet
- split: test
path: data/task_4-two_argument_relations/babi-test.parquet
- split: validation
path: data/task_4-two_argument_relations/babi-validation.parquet
- config_name: task_5-three_argument_relations
data_files:
- split: train
path: data/task_5-three_argument_relations/babi-train.parquet
- split: test
path: data/task_5-three_argument_relations/babi-test.parquet
- split: validation
path: data/task_5-three_argument_relations/babi-validation.parquet
- config_name: task_6-yes_no_questions
data_files:
- split: train
path: data/task_6-yes_no_questions/babi-train.parquet
- split: test
path: data/task_6-yes_no_questions/babi-test.parquet
- split: validation
path: data/task_6-yes_no_questions/babi-validation.parquet
- config_name: task_7-counting
data_files:
- split: train
path: data/task_7-counting/babi-train.parquet
- split: test
path: data/task_7-counting/babi-test.parquet
- split: validation
path: data/task_7-counting/babi-validation.parquet
- config_name: task_8-lists_sets
data_files:
- split: train
path: data/task_8-lists_sets/babi-train.parquet
- split: test
path: data/task_8-lists_sets/babi-test.parquet
- split: validation
path: data/task_8-lists_sets/babi-validation.parquet
- config_name: task_9-simple_negation
data_files:
- split: train
path: data/task_9-simple_negation/babi-train.parquet
- split: test
path: data/task_9-simple_negation/babi-test.parquet
- split: validation
path: data/task_9-simple_negation/babi-validation.parquet
- config_name: task_10-indefinite_knowledge
data_files:
- split: train
path: data/task_10-indefinite_knowledge/babi-train.parquet
- split: test
path: data/task_10-indefinite_knowledge/babi-test.parquet
- split: validation
path: data/task_10-indefinite_knowledge/babi-validation.parquet
- config_name: task_11-basic_coreference
data_files:
- split: train
path: data/task_11-basic_coreference/babi-train.parquet
- split: test
path: data/task_11-basic_coreference/babi-test.parquet
- split: validation
path: data/task_11-basic_coreference/babi-validation.parquet
- config_name: task_12-conjunction
data_files:
- split: train
path: data/task_12-conjunction/babi-train.parquet
- split: test
path: data/task_12-conjunction/babi-test.parquet
- split: validation
path: data/task_12-conjunction/babi-validation.parquet
- config_name: task_13-compound_coreference
data_files:
- split: train
path: data/task_13-compound_coreference/babi-train.parquet
- split: test
path: data/task_13-compound_coreference/babi-test.parquet
- split: validation
path: data/task_13-compound_coreference/babi-validation.parquet
- config_name: task_14-time_reasoning
data_files:
- split: train
path: data/task_14-time_reasoning/babi-train.parquet
- split: test
path: data/task_14-time_reasoning/babi-test.parquet
- split: validation
path: data/task_14-time_reasoning/babi-validation.parquet
- config_name: task_15-basic_deduction
data_files:
- split: train
path: data/task_15-basic_deduction/babi-train.parquet
- split: test
path: data/task_15-basic_deduction/babi-test.parquet
- split: validation
path: data/task_15-basic_deduction/babi-validation.parquet
- config_name: task_16-basic_induction
data_files:
- split: train
path: data/task_16-basic_induction/babi-train.parquet
- split: test
path: data/task_16-basic_induction/babi-test.parquet
- split: validation
path: data/task_16-basic_induction/babi-validation.parquet
- config_name: task_17-positional_reasoning
data_files:
- split: train
path: data/task_17-positional_reasoning/babi-train.parquet
- split: test
path: data/task_17-positional_reasoning/babi-test.parquet
- split: validation
path: data/task_17-positional_reasoning/babi-validation.parquet
- config_name: task_18-size_reasoning
data_files:
- split: train
path: data/task_18-size_reasoning/babi-train.parquet
- split: test
path: data/task_18-size_reasoning/babi-test.parquet
- split: validation
path: data/task_18-size_reasoning/babi-validation.parquet
- config_name: task_19-path_finding
data_files:
- split: train
path: data/task_19-path_finding/babi-train.parquet
- split: test
path: data/task_19-path_finding/babi-test.parquet
- split: validation
path: data/task_19-path_finding/babi-validation.parquet
- config_name: task_20-agents_motivations
data_files:
- split: train
path: data/task_20-agents_motivations/babi-train.parquet
- split: test
path: data/task_20-agents_motivations/babi-test.parquet
- split: validation
path: data/task_20-agents_motivations/babi-validation.parquet
bAbI Dataset : Per-Task Splits
The examples in this dataset were obtained from "Muennighoff/babi". This dataset offer the same examples but it can be loaded using a per-task basis:
from datasets import load_dataset
ds = load_dataset('RawthiL/babi_tasks', 'task_1-single_supporting_fact')
The available tasks are:
| Task ID | Task Name | Split Name |
|---|---|---|
| 1 | Single Supporting Fact | task_1-single_supporting_fact |
| 2 | Two Supporting Facts | task_2-two_supporting_facts |
| 3 | Three Supporting Facts | task_3-three_supporting_facts |
| 4 | Two Argument Relations | task_4-two_argument_relations |
| 5 | Three Argument Relations | task_5-three_argument_relations |
| 6 | Yes/No Questions | task_6-yes_no_questions |
| 7 | Counting | task_7-counting |
| 8 | Lists/Sets | task_8-lists_sets |
| 9 | Simple Negation | task_9-simple_negation |
| 10 | Indefinite Knowledge | task_10-indefinite_knowledge |
| 11 | Basic Coreference | task_11-basic_coreference |
| 12 | Conjunction | task_12-conjunction |
| 13 | Compound Coreference | task_13-compound_coreference |
| 14 | Time Reasoning | task_14-time_reasoning |
| 15 | Basic Deduction | task_15-basic_deduction |
| 16 | Basic Induction | task_16-basic_induction |
| 17 | Positional Reasoning | task_17-positional_reasoning |
| 18 | Size Reasoning | task_18-size_reasoning |
| 19 | Path Finding | task_19-path_finding |
| 20 | Agent's Motivations | task_20-agents_motivations |
TOWARDS AI-COMPLETE QUESTION ANSWERING: A SET OF PREREQUISITE TOY TASKS
@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} }