# coding=utf-8 # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """The bAbI tasks dataset.""" import datasets _CITATION = """\ @misc{weston2015aicomplete, title={Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks}, author={Jason Weston and Antoine Bordes and Sumit Chopra and Alexander M. Rush and Bart van Merriënboer and Armand Joulin and Tomas Mikolov}, year={2015}, eprint={1502.05698}, archivePrefix={arXiv}, primaryClass={cs.AI} } """ _DESCRIPTION = """\ The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading comprehension via question answering. Our 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. The aim is to classify these tasks into skill sets,so that researchers can identify (and then rectify)the failings of their systems. """ _HOMEPAGE = "https://research.fb.com/downloads/babi/" _LICENSE = """Creative Commons Attribution 3.0 License""" ZIP_URL = "http://www.thespermwhale.com/jaseweston/babi/tasks_1-20_v1-2.tar.gz" paths = { "en": { "qa9": { "test": "tasks_1-20_v1-2/en/qa9_simple-negation_test.txt", "train": "tasks_1-20_v1-2/en/qa9_simple-negation_train.txt", }, "qa4": { "train": "tasks_1-20_v1-2/en/qa4_two-arg-relations_train.txt", "test": "tasks_1-20_v1-2/en/qa4_two-arg-relations_test.txt", }, "qa6": { "train": "tasks_1-20_v1-2/en/qa6_yes-no-questions_train.txt", "test": "tasks_1-20_v1-2/en/qa6_yes-no-questions_test.txt", }, "qa11": { "test": "tasks_1-20_v1-2/en/qa11_basic-coreference_test.txt", "train": "tasks_1-20_v1-2/en/qa11_basic-coreference_train.txt", }, "qa3": { "test": "tasks_1-20_v1-2/en/qa3_three-supporting-facts_test.txt", "train": "tasks_1-20_v1-2/en/qa3_three-supporting-facts_train.txt", }, "qa15": { "test": "tasks_1-20_v1-2/en/qa15_basic-deduction_test.txt", "train": "tasks_1-20_v1-2/en/qa15_basic-deduction_train.txt", }, "out.txt": {"out": "tasks_1-20_v1-2/en/out.txt"}, "qa17": { "test": "tasks_1-20_v1-2/en/qa17_positional-reasoning_test.txt", "train": "tasks_1-20_v1-2/en/qa17_positional-reasoning_train.txt", }, "qa13": { "test": "tasks_1-20_v1-2/en/qa13_compound-coreference_test.txt", "train": "tasks_1-20_v1-2/en/qa13_compound-coreference_train.txt", }, "qa1": { "train": "tasks_1-20_v1-2/en/qa1_single-supporting-fact_train.txt", "test": "tasks_1-20_v1-2/en/qa1_single-supporting-fact_test.txt", }, "qa14": { "train": "tasks_1-20_v1-2/en/qa14_time-reasoning_train.txt", "test": "tasks_1-20_v1-2/en/qa14_time-reasoning_test.txt", }, "qa16": { "test": "tasks_1-20_v1-2/en/qa16_basic-induction_test.txt", "train": "tasks_1-20_v1-2/en/qa16_basic-induction_train.txt", }, "qa19": { "test": "tasks_1-20_v1-2/en/qa19_path-finding_test.txt", "train": "tasks_1-20_v1-2/en/qa19_path-finding_train.txt", }, "qa18": { "test": "tasks_1-20_v1-2/en/qa18_size-reasoning_test.txt", "train": "tasks_1-20_v1-2/en/qa18_size-reasoning_train.txt", }, "qa10": { "train": "tasks_1-20_v1-2/en/qa10_indefinite-knowledge_train.txt", "test": "tasks_1-20_v1-2/en/qa10_indefinite-knowledge_test.txt", }, "qa7": { "train": "tasks_1-20_v1-2/en/qa7_counting_train.txt", "test": "tasks_1-20_v1-2/en/qa7_counting_test.txt", }, "qa5": { "test": "tasks_1-20_v1-2/en/qa5_three-arg-relations_test.txt", "train": "tasks_1-20_v1-2/en/qa5_three-arg-relations_train.txt", }, "qa12": { "test": "tasks_1-20_v1-2/en/qa12_conjunction_test.txt", "train": "tasks_1-20_v1-2/en/qa12_conjunction_train.txt", }, "qa2": { "train": "tasks_1-20_v1-2/en/qa2_two-supporting-facts_train.txt", "test": "tasks_1-20_v1-2/en/qa2_two-supporting-facts_test.txt", }, "qa20": { "train": "tasks_1-20_v1-2/en/qa20_agents-motivations_train.txt", "test": "tasks_1-20_v1-2/en/qa20_agents-motivations_test.txt", }, "qa8": { "train": "tasks_1-20_v1-2/en/qa8_lists-sets_train.txt", "test": "tasks_1-20_v1-2/en/qa8_lists-sets_test.txt", }, }, "en-10k": { "qa9": { "test": "tasks_1-20_v1-2/en-10k/qa9_simple-negation_test.txt", "train": "tasks_1-20_v1-2/en-10k/qa9_simple-negation_train.txt", }, "qa4": { "train": "tasks_1-20_v1-2/en-10k/qa4_two-arg-relations_train.txt", "test": "tasks_1-20_v1-2/en-10k/qa4_two-arg-relations_test.txt", }, "qa6": { "train": "tasks_1-20_v1-2/en-10k/qa6_yes-no-questions_train.txt", "test": "tasks_1-20_v1-2/en-10k/qa6_yes-no-questions_test.txt", }, "qa11": { "test": "tasks_1-20_v1-2/en-10k/qa11_basic-coreference_test.txt", "train": "tasks_1-20_v1-2/en-10k/qa11_basic-coreference_train.txt", }, "qa3": { "test": "tasks_1-20_v1-2/en-10k/qa3_three-supporting-facts_test.txt", "train": "tasks_1-20_v1-2/en-10k/qa3_three-supporting-facts_train.txt", }, "qa15": { "test": "tasks_1-20_v1-2/en-10k/qa15_basic-deduction_test.txt", "train": "tasks_1-20_v1-2/en-10k/qa15_basic-deduction_train.txt", }, "qa17": { "test": "tasks_1-20_v1-2/en-10k/qa17_positional-reasoning_test.txt", "train": "tasks_1-20_v1-2/en-10k/qa17_positional-reasoning_train.txt", }, "qa13": { "test": "tasks_1-20_v1-2/en-10k/qa13_compound-coreference_test.txt", "train": "tasks_1-20_v1-2/en-10k/qa13_compound-coreference_train.txt", }, "qa1": { "train": "tasks_1-20_v1-2/en-10k/qa1_single-supporting-fact_train.txt", "test": "tasks_1-20_v1-2/en-10k/qa1_single-supporting-fact_test.txt", }, "qa14": { "train": "tasks_1-20_v1-2/en-10k/qa14_time-reasoning_train.txt", "test": "tasks_1-20_v1-2/en-10k/qa14_time-reasoning_test.txt", }, "qa16": { "test": "tasks_1-20_v1-2/en-10k/qa16_basic-induction_test.txt", "train": "tasks_1-20_v1-2/en-10k/qa16_basic-induction_train.txt", }, "qa19": { "test": "tasks_1-20_v1-2/en-10k/qa19_path-finding_test.txt", "train": "tasks_1-20_v1-2/en-10k/qa19_path-finding_train.txt", }, "qa18": { "test": "tasks_1-20_v1-2/en-10k/qa18_size-reasoning_test.txt", "train": "tasks_1-20_v1-2/en-10k/qa18_size-reasoning_train.txt", }, "qa10": { "train": "tasks_1-20_v1-2/en-10k/qa10_indefinite-knowledge_train.txt", "test": "tasks_1-20_v1-2/en-10k/qa10_indefinite-knowledge_test.txt", }, "qa7": { "train": "tasks_1-20_v1-2/en-10k/qa7_counting_train.txt", "test": "tasks_1-20_v1-2/en-10k/qa7_counting_test.txt", }, "qa5": { "test": "tasks_1-20_v1-2/en-10k/qa5_three-arg-relations_test.txt", "train": "tasks_1-20_v1-2/en-10k/qa5_three-arg-relations_train.txt", }, "qa12": { "test": "tasks_1-20_v1-2/en-10k/qa12_conjunction_test.txt", "train": "tasks_1-20_v1-2/en-10k/qa12_conjunction_train.txt", }, "qa2": { "train": "tasks_1-20_v1-2/en-10k/qa2_two-supporting-facts_train.txt", "test": "tasks_1-20_v1-2/en-10k/qa2_two-supporting-facts_test.txt", }, "qa20": { "train": "tasks_1-20_v1-2/en-10k/qa20_agents-motivations_train.txt", "test": "tasks_1-20_v1-2/en-10k/qa20_agents-motivations_test.txt", }, "qa8": { "train": "tasks_1-20_v1-2/en-10k/qa8_lists-sets_train.txt", "test": "tasks_1-20_v1-2/en-10k/qa8_lists-sets_test.txt", }, }, "en-valid": { "qa5": { "train": "tasks_1-20_v1-2/en-valid/qa5_train.txt", "test": "tasks_1-20_v1-2/en-valid/qa5_test.txt", "valid": "tasks_1-20_v1-2/en-valid/qa5_valid.txt", }, "qa16": { "valid": "tasks_1-20_v1-2/en-valid/qa16_valid.txt", "test": "tasks_1-20_v1-2/en-valid/qa16_test.txt", "train": "tasks_1-20_v1-2/en-valid/qa16_train.txt", }, "qa2": { "valid": "tasks_1-20_v1-2/en-valid/qa2_valid.txt", "test": "tasks_1-20_v1-2/en-valid/qa2_test.txt", "train": "tasks_1-20_v1-2/en-valid/qa2_train.txt", }, "qa15": { "train": "tasks_1-20_v1-2/en-valid/qa15_train.txt", "test": "tasks_1-20_v1-2/en-valid/qa15_test.txt", "valid": "tasks_1-20_v1-2/en-valid/qa15_valid.txt", }, "qa9": { "test": "tasks_1-20_v1-2/en-valid/qa9_test.txt", "train": "tasks_1-20_v1-2/en-valid/qa9_train.txt", "valid": "tasks_1-20_v1-2/en-valid/qa9_valid.txt", }, "qa1": { "valid": "tasks_1-20_v1-2/en-valid/qa1_valid.txt", "test": "tasks_1-20_v1-2/en-valid/qa1_test.txt", "train": "tasks_1-20_v1-2/en-valid/qa1_train.txt", }, "qa4": { "test": "tasks_1-20_v1-2/en-valid/qa4_test.txt", "train": "tasks_1-20_v1-2/en-valid/qa4_train.txt", "valid": "tasks_1-20_v1-2/en-valid/qa4_valid.txt", }, "qa14": { "valid": "tasks_1-20_v1-2/en-valid/qa14_valid.txt", "train": "tasks_1-20_v1-2/en-valid/qa14_train.txt", "test": "tasks_1-20_v1-2/en-valid/qa14_test.txt", }, "qa3": { "test": "tasks_1-20_v1-2/en-valid/qa3_test.txt", "train": "tasks_1-20_v1-2/en-valid/qa3_train.txt", "valid": "tasks_1-20_v1-2/en-valid/qa3_valid.txt", }, "qa6": { "valid": "tasks_1-20_v1-2/en-valid/qa6_valid.txt", "test": "tasks_1-20_v1-2/en-valid/qa6_test.txt", "train": "tasks_1-20_v1-2/en-valid/qa6_train.txt", }, "qa8": { "test": "tasks_1-20_v1-2/en-valid/qa8_test.txt", "valid": "tasks_1-20_v1-2/en-valid/qa8_valid.txt", "train": "tasks_1-20_v1-2/en-valid/qa8_train.txt", }, "qa20": { "train": "tasks_1-20_v1-2/en-valid/qa20_train.txt", "valid": "tasks_1-20_v1-2/en-valid/qa20_valid.txt", "test": "tasks_1-20_v1-2/en-valid/qa20_test.txt", }, "qa11": { "test": "tasks_1-20_v1-2/en-valid/qa11_test.txt", "train": "tasks_1-20_v1-2/en-valid/qa11_train.txt", "valid": "tasks_1-20_v1-2/en-valid/qa11_valid.txt", }, "qa12": { "test": "tasks_1-20_v1-2/en-valid/qa12_test.txt", "valid": "tasks_1-20_v1-2/en-valid/qa12_valid.txt", "train": "tasks_1-20_v1-2/en-valid/qa12_train.txt", }, "qa13": { "test": "tasks_1-20_v1-2/en-valid/qa13_test.txt", "valid": "tasks_1-20_v1-2/en-valid/qa13_valid.txt", "train": "tasks_1-20_v1-2/en-valid/qa13_train.txt", }, "qa7": { "train": "tasks_1-20_v1-2/en-valid/qa7_train.txt", "test": "tasks_1-20_v1-2/en-valid/qa7_test.txt", "valid": "tasks_1-20_v1-2/en-valid/qa7_valid.txt", }, "qa19": { "valid": "tasks_1-20_v1-2/en-valid/qa19_valid.txt", "test": "tasks_1-20_v1-2/en-valid/qa19_test.txt", "train": "tasks_1-20_v1-2/en-valid/qa19_train.txt", }, "qa17": { "train": "tasks_1-20_v1-2/en-valid/qa17_train.txt", "test": "tasks_1-20_v1-2/en-valid/qa17_test.txt", "valid": "tasks_1-20_v1-2/en-valid/qa17_valid.txt", }, "qa10": { "test": "tasks_1-20_v1-2/en-valid/qa10_test.txt", "valid": "tasks_1-20_v1-2/en-valid/qa10_valid.txt", "train": "tasks_1-20_v1-2/en-valid/qa10_train.txt", }, "qa18": { "valid": "tasks_1-20_v1-2/en-valid/qa18_valid.txt", "train": "tasks_1-20_v1-2/en-valid/qa18_train.txt", "test": "tasks_1-20_v1-2/en-valid/qa18_test.txt", }, }, "en-valid-10k": { "qa5": { "train": "tasks_1-20_v1-2/en-valid-10k/qa5_train.txt", "test": "tasks_1-20_v1-2/en-valid-10k/qa5_test.txt", "valid": "tasks_1-20_v1-2/en-valid-10k/qa5_valid.txt", }, "qa16": { "valid": "tasks_1-20_v1-2/en-valid-10k/qa16_valid.txt", "test": "tasks_1-20_v1-2/en-valid-10k/qa16_test.txt", "train": "tasks_1-20_v1-2/en-valid-10k/qa16_train.txt", }, "qa2": { "valid": "tasks_1-20_v1-2/en-valid-10k/qa2_valid.txt", "test": "tasks_1-20_v1-2/en-valid-10k/qa2_test.txt", "train": "tasks_1-20_v1-2/en-valid-10k/qa2_train.txt", }, "qa15": { "train": "tasks_1-20_v1-2/en-valid-10k/qa15_train.txt", "test": "tasks_1-20_v1-2/en-valid-10k/qa15_test.txt", "valid": "tasks_1-20_v1-2/en-valid-10k/qa15_valid.txt", }, "qa9": { "test": "tasks_1-20_v1-2/en-valid-10k/qa9_test.txt", "train": "tasks_1-20_v1-2/en-valid-10k/qa9_train.txt", "valid": "tasks_1-20_v1-2/en-valid-10k/qa9_valid.txt", }, "qa1": { "valid": "tasks_1-20_v1-2/en-valid-10k/qa1_valid.txt", "test": "tasks_1-20_v1-2/en-valid-10k/qa1_test.txt", "train": "tasks_1-20_v1-2/en-valid-10k/qa1_train.txt", }, "qa4": { "test": "tasks_1-20_v1-2/en-valid-10k/qa4_test.txt", "train": "tasks_1-20_v1-2/en-valid-10k/qa4_train.txt", "valid": "tasks_1-20_v1-2/en-valid-10k/qa4_valid.txt", }, "qa14": { "valid": "tasks_1-20_v1-2/en-valid-10k/qa14_valid.txt", "train": "tasks_1-20_v1-2/en-valid-10k/qa14_train.txt", "test": "tasks_1-20_v1-2/en-valid-10k/qa14_test.txt", }, "qa3": { "test": "tasks_1-20_v1-2/en-valid-10k/qa3_test.txt", "train": "tasks_1-20_v1-2/en-valid-10k/qa3_train.txt", "valid": "tasks_1-20_v1-2/en-valid-10k/qa3_valid.txt", }, "qa6": { "valid": "tasks_1-20_v1-2/en-valid-10k/qa6_valid.txt", "test": "tasks_1-20_v1-2/en-valid-10k/qa6_test.txt", "train": "tasks_1-20_v1-2/en-valid-10k/qa6_train.txt", }, "qa8": { "test": "tasks_1-20_v1-2/en-valid-10k/qa8_test.txt", "valid": "tasks_1-20_v1-2/en-valid-10k/qa8_valid.txt", "train": "tasks_1-20_v1-2/en-valid-10k/qa8_train.txt", }, "qa20": { "train": "tasks_1-20_v1-2/en-valid-10k/qa20_train.txt", "valid": "tasks_1-20_v1-2/en-valid-10k/qa20_valid.txt", "test": "tasks_1-20_v1-2/en-valid-10k/qa20_test.txt", }, "qa11": { "test": "tasks_1-20_v1-2/en-valid-10k/qa11_test.txt", "train": "tasks_1-20_v1-2/en-valid-10k/qa11_train.txt", "valid": "tasks_1-20_v1-2/en-valid-10k/qa11_valid.txt", }, "qa12": { "test": "tasks_1-20_v1-2/en-valid-10k/qa12_test.txt", "valid": "tasks_1-20_v1-2/en-valid-10k/qa12_valid.txt", "train": "tasks_1-20_v1-2/en-valid-10k/qa12_train.txt", }, "qa13": { "test": "tasks_1-20_v1-2/en-valid-10k/qa13_test.txt", "valid": "tasks_1-20_v1-2/en-valid-10k/qa13_valid.txt", "train": "tasks_1-20_v1-2/en-valid-10k/qa13_train.txt", }, "qa7": { "train": "tasks_1-20_v1-2/en-valid-10k/qa7_train.txt", "test": "tasks_1-20_v1-2/en-valid-10k/qa7_test.txt", "valid": "tasks_1-20_v1-2/en-valid-10k/qa7_valid.txt", }, "qa19": { "valid": "tasks_1-20_v1-2/en-valid-10k/qa19_valid.txt", "test": "tasks_1-20_v1-2/en-valid-10k/qa19_test.txt", "train": "tasks_1-20_v1-2/en-valid-10k/qa19_train.txt", }, "qa17": { "train": "tasks_1-20_v1-2/en-valid-10k/qa17_train.txt", "test": "tasks_1-20_v1-2/en-valid-10k/qa17_test.txt", "valid": "tasks_1-20_v1-2/en-valid-10k/qa17_valid.txt", }, "qa10": { "test": "tasks_1-20_v1-2/en-valid-10k/qa10_test.txt", "valid": "tasks_1-20_v1-2/en-valid-10k/qa10_valid.txt", "train": "tasks_1-20_v1-2/en-valid-10k/qa10_train.txt", }, "qa18": { "valid": "tasks_1-20_v1-2/en-valid-10k/qa18_valid.txt", "train": "tasks_1-20_v1-2/en-valid-10k/qa18_train.txt", "test": "tasks_1-20_v1-2/en-valid-10k/qa18_test.txt", }, }, "hn": { "qa9": { "test": "tasks_1-20_v1-2/hn/qa9_simple-negation_test.txt", "train": "tasks_1-20_v1-2/hn/qa9_simple-negation_train.txt", }, "qa4": { "train": "tasks_1-20_v1-2/hn/qa4_two-arg-relations_train.txt", "test": "tasks_1-20_v1-2/hn/qa4_two-arg-relations_test.txt", }, "qa6": { "train": "tasks_1-20_v1-2/hn/qa6_yes-no-questions_train.txt", "test": "tasks_1-20_v1-2/hn/qa6_yes-no-questions_test.txt", }, "qa11": { "test": "tasks_1-20_v1-2/hn/qa11_basic-coreference_test.txt", "train": "tasks_1-20_v1-2/hn/qa11_basic-coreference_train.txt", }, "qa3": { "test": "tasks_1-20_v1-2/hn/qa3_three-supporting-facts_test.txt", "train": "tasks_1-20_v1-2/hn/qa3_three-supporting-facts_train.txt", }, "qa15": { "test": "tasks_1-20_v1-2/hn/qa15_basic-deduction_test.txt", "train": "tasks_1-20_v1-2/hn/qa15_basic-deduction_train.txt", }, "qa17": { "test": "tasks_1-20_v1-2/hn/qa17_positional-reasoning_test.txt", "train": "tasks_1-20_v1-2/hn/qa17_positional-reasoning_train.txt", }, "qa13": { "test": "tasks_1-20_v1-2/hn/qa13_compound-coreference_test.txt", "train": "tasks_1-20_v1-2/hn/qa13_compound-coreference_train.txt", }, "qa1": { "train": "tasks_1-20_v1-2/hn/qa1_single-supporting-fact_train.txt", "test": "tasks_1-20_v1-2/hn/qa1_single-supporting-fact_test.txt", }, "qa14": { "train": "tasks_1-20_v1-2/hn/qa14_time-reasoning_train.txt", "test": "tasks_1-20_v1-2/hn/qa14_time-reasoning_test.txt", }, "qa16": { "test": "tasks_1-20_v1-2/hn/qa16_basic-induction_test.txt", "train": "tasks_1-20_v1-2/hn/qa16_basic-induction_train.txt", }, "qa19": { "test": "tasks_1-20_v1-2/hn/qa19_path-finding_test.txt", "train": "tasks_1-20_v1-2/hn/qa19_path-finding_train.txt", }, "qa18": { "test": "tasks_1-20_v1-2/hn/qa18_size-reasoning_test.txt", "train": "tasks_1-20_v1-2/hn/qa18_size-reasoning_train.txt", }, "qa10": { "train": "tasks_1-20_v1-2/hn/qa10_indefinite-knowledge_train.txt", "test": "tasks_1-20_v1-2/hn/qa10_indefinite-knowledge_test.txt", }, "qa7": { "train": "tasks_1-20_v1-2/hn/qa7_counting_train.txt", "test": "tasks_1-20_v1-2/hn/qa7_counting_test.txt", }, "qa5": { "test": "tasks_1-20_v1-2/hn/qa5_three-arg-relations_test.txt", "train": "tasks_1-20_v1-2/hn/qa5_three-arg-relations_train.txt", }, "qa12": { "test": "tasks_1-20_v1-2/hn/qa12_conjunction_test.txt", "train": "tasks_1-20_v1-2/hn/qa12_conjunction_train.txt", }, "qa2": { "train": "tasks_1-20_v1-2/hn/qa2_two-supporting-facts_train.txt", "test": "tasks_1-20_v1-2/hn/qa2_two-supporting-facts_test.txt", }, "qa20": { "train": "tasks_1-20_v1-2/hn/qa20_agents-motivations_train.txt", "test": "tasks_1-20_v1-2/hn/qa20_agents-motivations_test.txt", }, "qa8": { "train": "tasks_1-20_v1-2/hn/qa8_lists-sets_train.txt", "test": "tasks_1-20_v1-2/hn/qa8_lists-sets_test.txt", }, }, "hn-10k": { "qa9": { "test": "tasks_1-20_v1-2/hn-10k/qa9_simple-negation_test.txt", "train": "tasks_1-20_v1-2/hn-10k/qa9_simple-negation_train.txt", }, "qa4": { "train": "tasks_1-20_v1-2/hn-10k/qa4_two-arg-relations_train.txt", "test": "tasks_1-20_v1-2/hn-10k/qa4_two-arg-relations_test.txt", }, "qa6": { "train": "tasks_1-20_v1-2/hn-10k/qa6_yes-no-questions_train.txt", "test": "tasks_1-20_v1-2/hn-10k/qa6_yes-no-questions_test.txt", }, "qa11": { "test": "tasks_1-20_v1-2/hn-10k/qa11_basic-coreference_test.txt", "train": "tasks_1-20_v1-2/hn-10k/qa11_basic-coreference_train.txt", }, "qa3": { "test": "tasks_1-20_v1-2/hn-10k/qa3_three-supporting-facts_test.txt", "train": "tasks_1-20_v1-2/hn-10k/qa3_three-supporting-facts_train.txt", }, "qa15": { "test": "tasks_1-20_v1-2/hn-10k/qa15_basic-deduction_test.txt", "train": "tasks_1-20_v1-2/hn-10k/qa15_basic-deduction_train.txt", }, "qa17": { "test": "tasks_1-20_v1-2/hn-10k/qa17_positional-reasoning_test.txt", "train": "tasks_1-20_v1-2/hn-10k/qa17_positional-reasoning_train.txt", }, "qa13": { "test": "tasks_1-20_v1-2/hn-10k/qa13_compound-coreference_test.txt", "train": "tasks_1-20_v1-2/hn-10k/qa13_compound-coreference_train.txt", }, "qa1": { "train": "tasks_1-20_v1-2/hn-10k/qa1_single-supporting-fact_train.txt", "test": "tasks_1-20_v1-2/hn-10k/qa1_single-supporting-fact_test.txt", }, "qa14": { "train": "tasks_1-20_v1-2/hn-10k/qa14_time-reasoning_train.txt", "test": "tasks_1-20_v1-2/hn-10k/qa14_time-reasoning_test.txt", }, "qa16": { "test": "tasks_1-20_v1-2/hn-10k/qa16_basic-induction_test.txt", "train": "tasks_1-20_v1-2/hn-10k/qa16_basic-induction_train.txt", }, "qa19": { "test": "tasks_1-20_v1-2/hn-10k/qa19_path-finding_test.txt", "train": "tasks_1-20_v1-2/hn-10k/qa19_path-finding_train.txt", }, "qa18": { "test": "tasks_1-20_v1-2/hn-10k/qa18_size-reasoning_test.txt", "train": "tasks_1-20_v1-2/hn-10k/qa18_size-reasoning_train.txt", }, "qa10": { "train": "tasks_1-20_v1-2/hn-10k/qa10_indefinite-knowledge_train.txt", "test": "tasks_1-20_v1-2/hn-10k/qa10_indefinite-knowledge_test.txt", }, "qa7": { "train": "tasks_1-20_v1-2/hn-10k/qa7_counting_train.txt", "test": "tasks_1-20_v1-2/hn-10k/qa7_counting_test.txt", }, "qa5": { "test": "tasks_1-20_v1-2/hn-10k/qa5_three-arg-relations_test.txt", "train": "tasks_1-20_v1-2/hn-10k/qa5_three-arg-relations_train.txt", }, "qa12": { "test": "tasks_1-20_v1-2/hn-10k/qa12_conjunction_test.txt", "train": "tasks_1-20_v1-2/hn-10k/qa12_conjunction_train.txt", }, "qa2": { "train": "tasks_1-20_v1-2/hn-10k/qa2_two-supporting-facts_train.txt", "test": "tasks_1-20_v1-2/hn-10k/qa2_two-supporting-facts_test.txt", }, "qa20": { "train": "tasks_1-20_v1-2/hn-10k/qa20_agents-motivations_train.txt", "test": "tasks_1-20_v1-2/hn-10k/qa20_agents-motivations_test.txt", }, "qa8": { "train": "tasks_1-20_v1-2/hn-10k/qa8_lists-sets_train.txt", "test": "tasks_1-20_v1-2/hn-10k/qa8_lists-sets_test.txt", }, }, "shuffled": { "qa9": { "test": "tasks_1-20_v1-2/shuffled/qa9_simple-negation_test.txt", "train": "tasks_1-20_v1-2/shuffled/qa9_simple-negation_train.txt", }, "qa4": { "train": "tasks_1-20_v1-2/shuffled/qa4_two-arg-relations_train.txt", "test": "tasks_1-20_v1-2/shuffled/qa4_two-arg-relations_test.txt", }, "qa6": { "train": "tasks_1-20_v1-2/shuffled/qa6_yes-no-questions_train.txt", "test": "tasks_1-20_v1-2/shuffled/qa6_yes-no-questions_test.txt", }, "qa11": { "test": "tasks_1-20_v1-2/shuffled/qa11_basic-coreference_test.txt", "train": "tasks_1-20_v1-2/shuffled/qa11_basic-coreference_train.txt", }, "qa3": { "test": "tasks_1-20_v1-2/shuffled/qa3_three-supporting-facts_test.txt", "train": "tasks_1-20_v1-2/shuffled/qa3_three-supporting-facts_train.txt", }, "qa15": { "test": "tasks_1-20_v1-2/shuffled/qa15_basic-deduction_test.txt", "train": "tasks_1-20_v1-2/shuffled/qa15_basic-deduction_train.txt", }, "qa17": { "test": "tasks_1-20_v1-2/shuffled/qa17_positional-reasoning_test.txt", "train": "tasks_1-20_v1-2/shuffled/qa17_positional-reasoning_train.txt", }, "qa13": { "test": "tasks_1-20_v1-2/shuffled/qa13_compound-coreference_test.txt", "train": "tasks_1-20_v1-2/shuffled/qa13_compound-coreference_train.txt", }, "qa1": { "train": "tasks_1-20_v1-2/shuffled/qa1_single-supporting-fact_train.txt", "test": "tasks_1-20_v1-2/shuffled/qa1_single-supporting-fact_test.txt", }, "qa14": { "train": "tasks_1-20_v1-2/shuffled/qa14_time-reasoning_train.txt", "test": "tasks_1-20_v1-2/shuffled/qa14_time-reasoning_test.txt", }, "qa16": { "test": "tasks_1-20_v1-2/shuffled/qa16_basic-induction_test.txt", "train": "tasks_1-20_v1-2/shuffled/qa16_basic-induction_train.txt", }, "qa19": { "test": "tasks_1-20_v1-2/shuffled/qa19_path-finding_test.txt", "train": "tasks_1-20_v1-2/shuffled/qa19_path-finding_train.txt", }, "qa18": { "test": "tasks_1-20_v1-2/shuffled/qa18_size-reasoning_test.txt", "train": "tasks_1-20_v1-2/shuffled/qa18_size-reasoning_train.txt", }, "qa10": { "train": "tasks_1-20_v1-2/shuffled/qa10_indefinite-knowledge_train.txt", "test": "tasks_1-20_v1-2/shuffled/qa10_indefinite-knowledge_test.txt", }, "qa7": { "train": "tasks_1-20_v1-2/shuffled/qa7_counting_train.txt", "test": "tasks_1-20_v1-2/shuffled/qa7_counting_test.txt", }, "qa5": { "test": "tasks_1-20_v1-2/shuffled/qa5_three-arg-relations_test.txt", "train": "tasks_1-20_v1-2/shuffled/qa5_three-arg-relations_train.txt", }, "qa12": { "test": "tasks_1-20_v1-2/shuffled/qa12_conjunction_test.txt", "train": "tasks_1-20_v1-2/shuffled/qa12_conjunction_train.txt", }, "qa2": { "train": "tasks_1-20_v1-2/shuffled/qa2_two-supporting-facts_train.txt", "test": "tasks_1-20_v1-2/shuffled/qa2_two-supporting-facts_test.txt", }, "qa20": { "train": "tasks_1-20_v1-2/shuffled/qa20_agents-motivations_train.txt", "test": "tasks_1-20_v1-2/shuffled/qa20_agents-motivations_test.txt", }, "qa8": { "train": "tasks_1-20_v1-2/shuffled/qa8_lists-sets_train.txt", "test": "tasks_1-20_v1-2/shuffled/qa8_lists-sets_test.txt", }, }, "shuffled-10k": { "qa9": { "test": "tasks_1-20_v1-2/shuffled-10k/qa9_simple-negation_test.txt", "train": "tasks_1-20_v1-2/shuffled-10k/qa9_simple-negation_train.txt", }, "qa4": { "train": "tasks_1-20_v1-2/shuffled-10k/qa4_two-arg-relations_train.txt", "test": "tasks_1-20_v1-2/shuffled-10k/qa4_two-arg-relations_test.txt", }, "qa6": { "train": "tasks_1-20_v1-2/shuffled-10k/qa6_yes-no-questions_train.txt", "test": "tasks_1-20_v1-2/shuffled-10k/qa6_yes-no-questions_test.txt", }, "qa11": { "test": "tasks_1-20_v1-2/shuffled-10k/qa11_basic-coreference_test.txt", "train": "tasks_1-20_v1-2/shuffled-10k/qa11_basic-coreference_train.txt", }, "qa3": { "test": "tasks_1-20_v1-2/shuffled-10k/qa3_three-supporting-facts_test.txt", "train": "tasks_1-20_v1-2/shuffled-10k/qa3_three-supporting-facts_train.txt", }, "qa15": { "test": "tasks_1-20_v1-2/shuffled-10k/qa15_basic-deduction_test.txt", "train": "tasks_1-20_v1-2/shuffled-10k/qa15_basic-deduction_train.txt", }, "qa17": { "test": "tasks_1-20_v1-2/shuffled-10k/qa17_positional-reasoning_test.txt", "train": "tasks_1-20_v1-2/shuffled-10k/qa17_positional-reasoning_train.txt", }, "qa13": { "test": "tasks_1-20_v1-2/shuffled-10k/qa13_compound-coreference_test.txt", "train": "tasks_1-20_v1-2/shuffled-10k/qa13_compound-coreference_train.txt", }, "qa1": { "train": "tasks_1-20_v1-2/shuffled-10k/qa1_single-supporting-fact_train.txt", "test": "tasks_1-20_v1-2/shuffled-10k/qa1_single-supporting-fact_test.txt", }, "qa14": { "train": "tasks_1-20_v1-2/shuffled-10k/qa14_time-reasoning_train.txt", "test": "tasks_1-20_v1-2/shuffled-10k/qa14_time-reasoning_test.txt", }, "qa16": { "test": "tasks_1-20_v1-2/shuffled-10k/qa16_basic-induction_test.txt", "train": "tasks_1-20_v1-2/shuffled-10k/qa16_basic-induction_train.txt", }, "qa19": { "test": "tasks_1-20_v1-2/shuffled-10k/qa19_path-finding_test.txt", "train": "tasks_1-20_v1-2/shuffled-10k/qa19_path-finding_train.txt", }, "qa18": { "test": "tasks_1-20_v1-2/shuffled-10k/qa18_size-reasoning_test.txt", "train": "tasks_1-20_v1-2/shuffled-10k/qa18_size-reasoning_train.txt", }, "qa10": { "train": "tasks_1-20_v1-2/shuffled-10k/qa10_indefinite-knowledge_train.txt", "test": "tasks_1-20_v1-2/shuffled-10k/qa10_indefinite-knowledge_test.txt", }, "qa7": { "train": "tasks_1-20_v1-2/shuffled-10k/qa7_counting_train.txt", "test": "tasks_1-20_v1-2/shuffled-10k/qa7_counting_test.txt", }, "qa5": { "test": "tasks_1-20_v1-2/shuffled-10k/qa5_three-arg-relations_test.txt", "train": "tasks_1-20_v1-2/shuffled-10k/qa5_three-arg-relations_train.txt", }, "qa12": { "test": "tasks_1-20_v1-2/shuffled-10k/qa12_conjunction_test.txt", "train": "tasks_1-20_v1-2/shuffled-10k/qa12_conjunction_train.txt", }, "qa2": { "train": "tasks_1-20_v1-2/shuffled-10k/qa2_two-supporting-facts_train.txt", "test": "tasks_1-20_v1-2/shuffled-10k/qa2_two-supporting-facts_test.txt", }, "qa20": { "train": "tasks_1-20_v1-2/shuffled-10k/qa20_agents-motivations_train.txt", "test": "tasks_1-20_v1-2/shuffled-10k/qa20_agents-motivations_test.txt", }, "qa8": { "train": "tasks_1-20_v1-2/shuffled-10k/qa8_lists-sets_train.txt", "test": "tasks_1-20_v1-2/shuffled-10k/qa8_lists-sets_test.txt", }, }, } class BabiQaConfig(datasets.BuilderConfig): def __init__(self, *args, type=None, task_no=None, **kwargs): super().__init__( *args, name=f"{type}-{task_no}", **kwargs, ) self.type = type self.task_no = task_no class BabiQa(datasets.GeneratorBasedBuilder): """The bAbI QA (20) tasks Dataset""" VERSION = datasets.Version("1.2.0") BUILDER_CONFIG_CLASS = BabiQaConfig BUILDER_CONFIGS = [ BabiQaConfig( type="en", task_no="qa1", version=VERSION, description="This part of the config handles the `qa1` task of the bAbI `en` dataset", ), BabiQaConfig( type="hn", task_no="qa1", version=VERSION, description="This part of the config handles the `qa1` task of the bAbI `hn` dataset", ), BabiQaConfig( type="en-10k", task_no="qa1", version=VERSION, description="This part of the config handles the `qa1` task of the bAbI `en-10k` dataset", ), BabiQaConfig( type="en-valid", task_no="qa1", version=VERSION, description="This part of the config handles the `qa1` task of the bAbI `en-valid` dataset", ), BabiQaConfig( type="en-valid-10k", task_no="qa1", version=VERSION, description="This part of the config handles the `qa1` task of the bAbI `en-valid-10k` dataset", ), BabiQaConfig( type="hn-10k", task_no="qa1", version=VERSION, description="This part of the config handles the `qa1` task of the bAbI `hn-10k` dataset", ), BabiQaConfig( type="shuffled", task_no="qa1", version=VERSION, description="This part of the config handles the `qa1` task of the bAbI `shuffled` dataset", ), BabiQaConfig( type="shuffled-10k", task_no="qa1", version=VERSION, description="This part of the config handles the `qa1` task of the bAbI `shuffled-10k` dataset", ), ] def _info(self): features = datasets.Features( { "story": datasets.Sequence( { "id": datasets.Value("string"), "type": datasets.ClassLabel(names=["context", "question"]), "text": datasets.Value("string"), "supporting_ids": datasets.Sequence(datasets.Value("string")), "answer": datasets.Value("string"), } ), } ) return datasets.DatasetInfo( # This is the description that will appear on the datasets page. description=_DESCRIPTION, # This defines the different columns of the dataset and their types features=features, # Here we define them above because they are different between the two configurations # If there's a common (input, target) tuple from the features, # specify them here. They'll be used if as_supervised=True in # builder.as_dataset. supervised_keys=None, # Homepage of the dataset for documentation homepage=_HOMEPAGE, # License for the dataset if available license=_LICENSE, # Citation for the dataset citation=_CITATION, ) def _split_generators(self, dl_manager): """Returns SplitGenerators.""" my_urls = ZIP_URL archive = dl_manager.download(my_urls) splits = [ datasets.SplitGenerator( name=datasets.Split.TRAIN, # These kwargs will be passed to _generate_examples gen_kwargs={ "filepath": paths[self.config.type][self.config.task_no]["train"], "files": dl_manager.iter_archive(archive), }, ), datasets.SplitGenerator( name=datasets.Split.TEST, # These kwargs will be passed to _generate_examples gen_kwargs={ "filepath": paths[self.config.type][self.config.task_no]["test"], "files": dl_manager.iter_archive(archive), }, ), ] if "valid" in self.config.type: splits += [ datasets.SplitGenerator( name=datasets.Split.VALIDATION, # These kwargs will be passed to _generate_examples gen_kwargs={ "filepath": paths[self.config.type][self.config.task_no]["valid"], "files": dl_manager.iter_archive(archive), }, ), ] return splits def _generate_examples(self, filepath, files): for path, f in files: if path == filepath: story = [] example_idx = 0 for idx, line in enumerate(f): line = line.decode("utf-8") if line.strip() == "": if story != []: yield example_idx, {"story": story} example_idx += 1 story = [] elif line.strip().split()[0] == "1": # New story if story != []: # Already some story, flush it out yield example_idx, {"story": story} example_idx += 1 story = [] line_no = line.split()[0] line_split = line[len(line_no) :].strip().split("\t") if len(line_split) > 1: story.append( { "id": line_no, "type": 1, # question "supporting_ids": line_split[-1].split(" "), "text": line_split[0].strip(), "answer": line_split[1].strip(), } ) else: story.append( { "id": line_no, "type": 0, # context "supporting_ids": [], "text": line_split[0].strip(), "answer": "", } ) else: line_no = line.split()[0] line_split = line[len(line_no) :].strip().split("\t") if len(line_split) > 1: story.append( { "id": line_no, "type": 1, # question "supporting_ids": line_split[-1].split(" "), "text": line_split[0].strip(), "answer": line_split[1].strip(), } ) else: story.append( { "id": line_no, "type": 0, # context "supporting_ids": [], "text": line_split[0].strip(), "answer": "", } ) else: # After last line if story != []: yield example_idx, {"story": story} break