Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
multi-class-classification
Languages:
English
Size:
100K - 1M
License:
Support streaming
#1
by
albertvillanova
HF Staff
- opened
- coarse_discourse.py +4 -4
coarse_discourse.py
CHANGED
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@@ -2,7 +2,6 @@
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import json
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import os
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import datasets
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@@ -16,7 +15,8 @@ _CITATION = """\
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_DESCRIPTION = """\
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dataset contains discourse annotation and relation on threads from reddit during 2016
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"""
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-
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class CoarseDiscourse(datasets.GeneratorBasedBuilder):
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@@ -67,13 +67,13 @@ class CoarseDiscourse(datasets.GeneratorBasedBuilder):
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# TODO(coarse_discourse): 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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-
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath":
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},
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),
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]
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import json
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import datasets
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_DESCRIPTION = """\
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dataset contains discourse annotation and relation on threads from reddit during 2016
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"""
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# From: https://github.com/google-research-datasets/coarse-discourse
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_URL = "https://raw.githubusercontent.com/google-research-datasets/coarse-discourse/master/coarse_discourse_dataset.json"
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class CoarseDiscourse(datasets.GeneratorBasedBuilder):
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# TODO(coarse_discourse): 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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data_path = dl_manager.download(_URL)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": data_path,
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},
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),
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]
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