Datasets:

Modalities:
Text
Formats:
parquet
Sub-tasks:
extractive-qa
Libraries:
Datasets
Dask
License:
system HF staff commited on
Commit
0c8deb3
1 Parent(s): 529211c

Update files from the datasets library (from 1.2.0)

Browse files

Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

Files changed (1) hide show
  1. tydiqa.py +11 -15
tydiqa.py CHANGED
@@ -3,7 +3,6 @@
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  from __future__ import absolute_import, division, print_function
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  import json
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- import os
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  import textwrap
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  import datasets
@@ -29,11 +28,16 @@ information-seeking task and avoid priming effects, questions are written by peo
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  don’t know the answer yet, (unlike SQuAD and its descendents) and the data is collected directly in each language without
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  the use of translation (unlike MLQA and XQuAD).
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  """
 
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  _URL = "https://storage.googleapis.com/tydiqa/"
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- _PRIMARY_TASK_TRAIN = "v1.0/tydiqa-v1.0-train.jsonl.gz"
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- _PRIMARY_TASK_DEV = "v1.0/tydiqa-v1.0-dev.jsonl.gz"
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- _SECONDARY_TASK_TRAIN = "v1.1/tydiqa-goldp-v1.1-train.json"
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- _SECONDARY_TASK_DEV = "v1.1/tydiqa-goldp-v1.1-dev.json"
 
 
 
 
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  class TydiqaConfig(datasets.BuilderConfig):
@@ -155,16 +159,8 @@ class Tydiqa(datasets.GeneratorBasedBuilder):
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  # TODO(tydiqa): Downloads the data and defines the splits
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  # dl_manager is a datasets.download.DownloadManager that can be used to
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  # download and extract URLs
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- primary_urls_to_download = {
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- "train": os.path.join(_URL, _PRIMARY_TASK_TRAIN),
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- "dev": os.path.join(_URL, _PRIMARY_TASK_DEV),
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- }
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- secondary_urls_to_download = {
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- "train": os.path.join(_URL, _SECONDARY_TASK_TRAIN),
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- "dev": os.path.join(_URL, _SECONDARY_TASK_DEV),
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- }
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- primary_downloaded = dl_manager.download_and_extract(primary_urls_to_download)
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- secondary_downloaded = dl_manager.download_and_extract(secondary_urls_to_download)
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  if self.config.name == "primary_task":
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  return [
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  datasets.SplitGenerator(
 
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  from __future__ import absolute_import, division, print_function
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  import json
 
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  import textwrap
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  import datasets
 
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  don’t know the answer yet, (unlike SQuAD and its descendents) and the data is collected directly in each language without
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  the use of translation (unlike MLQA and XQuAD).
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  """
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+
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  _URL = "https://storage.googleapis.com/tydiqa/"
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+ _PRIMARY_URLS = {
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+ "train": _URL + "v1.0/tydiqa-v1.0-train.jsonl.gz",
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+ "dev": _URL + "v1.0/tydiqa-v1.0-dev.jsonl.gz",
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+ }
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+ _SECONDARY_URLS = {
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+ "train": _URL + "v1.1/tydiqa-goldp-v1.1-train.json",
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+ "dev": _URL + "v1.1/tydiqa-goldp-v1.1-dev.json",
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+ }
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  class TydiqaConfig(datasets.BuilderConfig):
 
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  # TODO(tydiqa): Downloads the data and defines the splits
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  # dl_manager is a datasets.download.DownloadManager that can be used to
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  # download and extract URLs
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+ primary_downloaded = dl_manager.download_and_extract(_PRIMARY_URLS)
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+ secondary_downloaded = dl_manager.download_and_extract(_SECONDARY_URLS)
 
 
 
 
 
 
 
 
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  if self.config.name == "primary_task":
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  return [
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  datasets.SplitGenerator(