2WikiMultihopQA / 2WikiMultihopQA.py
Souradeep Nanda
Rename it again
0b416e4
# coding=utf-8
# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
#
# 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.
"""
Mirror of https://github.com/Alab-NII/2wikimultihop
"""
import json
import datasets
import pandas as pd
_DESCRIPTION = """\
Mirror of https://github.com/Alab-NII/2wikimultihop
"""
CITATION = """
@inproceedings{xanh2020_2wikimultihop,
title = "Constructing A Multi-hop {QA} Dataset for Comprehensive Evaluation of Reasoning Steps",
author = "Ho, Xanh and
Duong Nguyen, Anh-Khoa and
Sugawara, Saku and
Aizawa, Akiko",
booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",
month = dec,
year = "2020",
address = "Barcelona, Spain (Online)",
publisher = "International Committee on Computational Linguistics",
url = "https://www.aclweb.org/anthology/2020.coling-main.580",
pages = "6609--6625",
}
"""
DEV_URL = "https://huggingface.co/datasets/somebody-had-to-do-it/2WikiMultihopQA/resolve/main/dev.parquet?download=true"
TRAIN_URL = "https://huggingface.co/datasets/somebody-had-to-do-it/2WikiMultihopQA/resolve/main/train.parquet?download=true"
TEST_URL = "https://huggingface.co/datasets/somebody-had-to-do-it/2WikiMultihopQA/resolve/main/test.parquet?download=true"
class Dataset2WikiMultihopQa(datasets.GeneratorBasedBuilder):
"""Mirror of https://github.com/Alab-NII/2wikimultihop"""
VERSION = datasets.Version("1.0.0")
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"_id": datasets.Value("string"),
"type": datasets.Value("string"),
"question": datasets.Value("string"),
"context": datasets.features.Sequence(
{
"title": datasets.Value("string"),
"content": datasets.features.Sequence(
datasets.Value("string")
),
}
),
"supporting_facts": datasets.features.Sequence(
{
"title": datasets.Value("string"),
"sent_id": datasets.Value("int32"),
}
),
"evidences": datasets.features.Sequence(
{
"fact": datasets.Value("string"),
"relation": datasets.Value("string"),
"entity": datasets.Value("string"),
}
),
"answer": datasets.Value("string"),
}
),
supervised_keys=None,
homepage="https://github.com/Alab-NII/2wikimultihop",
citation=CITATION,
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
train_uri = dl_manager.download(TRAIN_URL)
dev_uri = dl_manager.download(DEV_URL)
test_uri = dl_manager.download(TEST_URL)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_uri}
),
datasets.SplitGenerator(
name=datasets.Split("dev"),
gen_kwargs={"filepath": dev_uri, "split": "dev"},
),
datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={"filepath": test_uri},
),
]
def _generate_examples(self, filepath, *args, **kwargs):
"""Yields examples from a Parquet file."""
# Read the Parquet file into a DataFrame
df = pd.read_parquet(filepath)
# Iterate over each row in the DataFrame
for idx, row in df.iterrows():
yield idx, {
"_id": row["_id"],
"type": row["type"],
"question": row["question"],
"context": [
{"title": item[0], "content": item[1]}
for item in json.loads(row["context"])
],
"supporting_facts": [
{"title": fact[0], "sent_id": fact[1]}
for fact in json.loads(row["supporting_facts"])
],
"evidences": [
{
"fact": evidence[0],
"relation": evidence[1],
"entity": evidence[2],
}
for evidence in json.loads(row["evidences"])
],
"answer": row["answer"],
}