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"""ComplexWebQuestions: A Dataset for Answering Complex Questions that Require Reasoning over Multiple Web Snippets."""
import json
import os
import datasets
logger = datasets.logging.get_logger(__name__)
_CITATION = """\
@inproceedings{Talmor2018TheWA,
title={The Web as a Knowledge-Base for Answering Complex Questions},
author={Alon Talmor and Jonathan Berant},
booktitle={NAACL},
year={2018}
}
"""
_DESCRIPTION = """\
ComplexWebQuestions is a dataset for answering complex questions that require reasoning over multiple web snippets. It contains a large set of complex questions in natural language, and can be used in multiple ways: 1) By interacting with a search engine, which is the focus of our paper (Talmor and Berant, 2018); 2) As a reading comprehension task: we release 12,725,989 web snippets that are relevant for the questions, and were collected during the development of our model; 3) As a semantic parsing task: each question is paired with a SPARQL query that can be executed against Freebase to retrieve the answer.
"""
_URL = "https://allenai.org/data/complexwebquestions"
_COMPLEXWEBQUESTIONS_URLS = {
"train": "https://www.dropbox.com/sh/7pkwkrfnwqhsnpo/AAAIHeWX0cPpbpwK6w06BCxva/ComplexWebQuestions_train.json?dl=1",
"dev": "https://www.dropbox.com/sh/7pkwkrfnwqhsnpo/AADH8beLbOUWxwvY_K38E3ADa/ComplexWebQuestions_dev.json?dl=1",
"test": "https://www.dropbox.com/sh/7pkwkrfnwqhsnpo/AABr4ysSy_Tg8Wfxww4i_UWda/ComplexWebQuestions_test.json?dl=1"
}
class ComplexWebQuestionsConfig(datasets.BuilderConfig):
"""BuilderConfig for ComplexWebQuestions"""
def __init__(self,
data_url,
data_dir,
**kwargs):
"""BuilderConfig for ComplexWebQuestions.
Args:
**kwargs: keyword arguments forwarded to super.
"""
super(ComplexWebQuestionsConfig, self).__init__(**kwargs)
self.data_url = data_url
self.data_dir = data_dir
class ComplexWebQuestions(datasets.GeneratorBasedBuilder):
"""ComplexWebQuestions: A Dataset for Answering Complex Questions that Require Reasoning over Multiple Web Snippets."""
BUILDER_CONFIGS = [
ComplexWebQuestionsConfig(
name="complex_web_questions",
description="ComplexWebQuestions",
data_url="",
data_dir="ComplexWebQuestions"
),
ComplexWebQuestionsConfig(
name="complexwebquestions_test",
description="ComplexWebQuestions",
data_url="",
data_dir="ComplexWebQuestions"
)
]
def _info(self):
features = datasets.Features(
{
"ID": datasets.Value("string"),
"answers": datasets.features.Sequence(
datasets.Features(
{
"aliases": datasets.features.Sequence(
datasets.Value("string")
),
"answer": datasets.Value("string"),
"answer_id": datasets.Value("string")
}
)
),
"composition_answer": datasets.Value("string"),
"compositionality_type": datasets.Value("string"),
"created": datasets.Value("string"),
"machine_question": datasets.Value("string"),
"question": datasets.Value("string"),
"sparql": datasets.Value("string"),
"webqsp_ID": datasets.Value("string"),
"webqsp_question": datasets.Value("string")
}
)
if self.config.name == "complexwebquestions_test":
features.pop("answers", None)
features.pop("composition_answer", None)
return datasets.DatasetInfo(
description=_DESCRIPTION,
supervised_keys=None,
homepage=_URL,
citation=_CITATION,
features=features
)
def _split_generators(self, dl_manager):
data_dir = None
if self.config.name == "complexwebquestions_test":
complexwebquestions_test_files = dl_manager.download(
{
"test": _COMPLEXWEBQUESTIONS_URLS["test"],
}
)
return [
datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={
"data_file": os.path.join(data_dir or "", complexwebquestions_test_files["test"]),
"split": "test"
}
)
]
else:
complexwebquestions_files = dl_manager.download(
{
"train": _COMPLEXWEBQUESTIONS_URLS["train"],
"dev": _COMPLEXWEBQUESTIONS_URLS["dev"]
}
)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"data_file": os.path.join(data_dir or "", complexwebquestions_files["train"]),
"split": "train"
}
),
datasets.SplitGenerator(
name=datasets.Split.VALIDATION,
gen_kwargs={
"data_file": os.path.join(data_dir or "", complexwebquestions_files["dev"]),
"split": "validation"
}
)
]
def _generate_examples(self, data_file, **kwargs):
with open(data_file, encoding="utf8") as f:
complexwebquestions = json.load(f)
for idx, question in enumerate(complexwebquestions):
yield idx, question |