Update files from the datasets library (from 1.16.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.16.0
- README.md +2 -1
- inquisitive_qg.py +11 -8
README.md
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---
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annotations_creators:
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- crowdsourced
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language_creators:
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paperswithcode_id: inquisitive
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---
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# Dataset Card
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## Table of Contents
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- [Dataset Description](#dataset-description)
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pretty_name: InquisitiveQg
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annotations_creators:
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- crowdsourced
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language_creators:
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paperswithcode_id: inquisitive
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---
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# Dataset Card for InquisitiveQg
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## Table of Contents
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- [Dataset Description](#dataset-description)
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inquisitive_qg.py
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import itertools
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import os
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import datasets
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def _split_generators(self, dl_manager):
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questions_file = dl_manager.download(_QUESTIONS_URL)
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articles_dir =
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return [
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datasets.SplitGenerator(
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"articles_dir": articles_dir,
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"questions_file": questions_file,
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"article_ids": TRAIN_ARTICLE_IDS,
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},
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),
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datasets.SplitGenerator(
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"articles_dir": articles_dir,
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"questions_file": questions_file,
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"article_ids": DEV_ARTICLE_IDS,
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},
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),
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datasets.SplitGenerator(
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"articles_dir": articles_dir,
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"questions_file": questions_file,
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"article_ids": TEST_ARTICLE_IDS,
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},
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),
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]
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def _generate_examples(self, articles_dir, questions_file, article_ids):
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with open(questions_file, encoding="utf-8") as f:
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questions_counter = 0
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rows = f.readlines()
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if article_id not in article_ids:
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continue
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# read the article file
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fname = str(article_id).rjust(4, "0") + ".txt"
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article_path =
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article = f.read()
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id_ = str(questions_counter)
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example = {
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import itertools
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import datasets
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def _split_generators(self, dl_manager):
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questions_file = dl_manager.download(_QUESTIONS_URL)
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archive = dl_manager.download(_ARTICLES_URL)
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articles_dir = "article"
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return [
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datasets.SplitGenerator(
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"articles_dir": articles_dir,
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"questions_file": questions_file,
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"article_ids": TRAIN_ARTICLE_IDS,
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"files": dl_manager.iter_archive(archive),
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},
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),
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datasets.SplitGenerator(
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"articles_dir": articles_dir,
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"questions_file": questions_file,
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"article_ids": DEV_ARTICLE_IDS,
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"files": dl_manager.iter_archive(archive),
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},
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),
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datasets.SplitGenerator(
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"articles_dir": articles_dir,
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"questions_file": questions_file,
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"article_ids": TEST_ARTICLE_IDS,
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"files": dl_manager.iter_archive(archive),
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},
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),
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]
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def _generate_examples(self, articles_dir, questions_file, article_ids, files):
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articles = {}
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for path, f in files:
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articles[path] = f.read().decode("utf-8")
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with open(questions_file, encoding="utf-8") as f:
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questions_counter = 0
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rows = f.readlines()
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if article_id not in article_ids:
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continue
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fname = str(article_id).rjust(4, "0") + ".txt"
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article_path = articles_dir + "/" + fname
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article = articles[article_path]
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id_ = str(questions_counter)
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example = {
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