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Update parquet files
Browse files- .gitattributes +0 -31
- arxiv/fs-test.parquet +3 -0
- arxiv/fs-train-00000-of-00014.parquet +3 -0
- arxiv/fs-train-00001-of-00014.parquet +3 -0
- arxiv/fs-train-00002-of-00014.parquet +3 -0
- arxiv/fs-train-00003-of-00014.parquet +3 -0
- arxiv/fs-train-00004-of-00014.parquet +3 -0
- arxiv/fs-train-00005-of-00014.parquet +3 -0
- arxiv/fs-train-00006-of-00014.parquet +3 -0
- arxiv/fs-train-00007-of-00014.parquet +3 -0
- arxiv/fs-train-00008-of-00014.parquet +3 -0
- arxiv/fs-train-00009-of-00014.parquet +3 -0
- arxiv/fs-train-00010-of-00014.parquet +3 -0
- arxiv/fs-train-00011-of-00014.parquet +3 -0
- arxiv/fs-train-00012-of-00014.parquet +3 -0
- arxiv/fs-train-00013-of-00014.parquet +3 -0
- arxiv/fs-validation.parquet +3 -0
- debug.py +0 -7
- fs.py +0 -160
- reddit_tifu/fs-test.parquet +3 -0
- reddit_tifu/fs-train.parquet +3 -0
- reddit_tifu/fs-validation.parquet +3 -0
.gitattributes
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data/summ_screen_fd/train.json filter=lfs diff=lfs merge=lfs -text
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data/summ_screen_fd/validation.json filter=lfs diff=lfs merge=lfs -text
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data/summ_screen_fd/test.json filter=lfs diff=lfs merge=lfs -text
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arxiv/fs-test.parquet
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arxiv/fs-train-00000-of-00014.parquet
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arxiv/fs-train-00002-of-00014.parquet
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arxiv/fs-train-00003-of-00014.parquet
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arxiv/fs-train-00006-of-00014.parquet
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arxiv/fs-train-00007-of-00014.parquet
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arxiv/fs-train-00008-of-00014.parquet
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arxiv/fs-train-00009-of-00014.parquet
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arxiv/fs-train-00010-of-00014.parquet
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arxiv/fs-train-00011-of-00014.parquet
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arxiv/fs-train-00012-of-00014.parquet
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arxiv/fs-train-00013-of-00014.parquet
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arxiv/fs-validation.parquet
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version https://git-lfs.github.com/spec/v1
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debug.py
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import datasets
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if __name__ == '__main__':
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dataset = datasets.load_dataset("fs.py", 'arxiv', streaming=True, split="validation")
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it = iter(dataset)
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a = next(it)
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x = 5
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fs.py
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# coding=utf-8
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# Lint as: python3
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"""The SCROLLS benchmark."""
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import json
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import os
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from abc import abstractmethod
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from typing import Union, NoReturn
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import datasets
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class FewsionConfig(datasets.BuilderConfig):
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"""BuilderConfig for SCROLLS."""
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def __init__(self, data_url, **kwargs):
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"""BuilderConfig for SCROLLS.
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Args:
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features: `list[string]`, list of the features that will appear in the
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feature dict. Should not include "label".
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data_url: `string`, url to download the zip file from.
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citation: `string`, citation for the data set.
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url: `string`, url for information about the data set.
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label_classes: `list[string]`, the list of classes for the label if the
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label is present as a string. Non-string labels will be cast to either
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'False' or 'True'.
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**kwargs: keyword arguments forwarded to super.
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"""
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super(FewsionConfig, self).__init__(version=datasets.Version("1.0.0"), **kwargs)
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self.data_url = data_url
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self.features = [self.source_column_name, self.target_column_name, self.id_column_name]
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if self.question_column_name:
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self.features.append(self.question_column_name)
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@property
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@abstractmethod
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def source_column_name(self) -> str:
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pass
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@property
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@abstractmethod
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def target_column_name(self) -> str:
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pass
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@property
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@abstractmethod
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def question_column_name(self) -> Union[str, NoReturn]:
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pass
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@property
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@abstractmethod
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def id_column_name(self) -> str:
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pass
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class ArxivConfig(FewsionConfig):
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@property
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def source_column_name(self) -> str:
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return "article"
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@property
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def target_column_name(self) -> str:
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return "abstract"
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@property
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def question_column_name(self) -> Union[str, NoReturn]:
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return
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@property
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def id_column_name(self) -> str:
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return "article_id"
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class RedditTIFUConfig(FewsionConfig):
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@property
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def source_column_name(self) -> str:
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return "document"
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@property
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def target_column_name(self) -> str:
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return "tldr"
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@property
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def question_column_name(self) -> Union[str, NoReturn]:
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return
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-
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@property
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def id_column_name(self) -> str:
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return "id"
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class Fewsion(datasets.GeneratorBasedBuilder):
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DEFAULT_WRITER_BATCH_SIZE = 1000 # because Narrative QA is a rather large dataset
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BUILDER_CONFIGS = [
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ArxivConfig(
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name="arxiv",
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data_url="https://fewsion.s3.us-east-2.amazonaws.com/arxiv.zip",
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),
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RedditTIFUConfig(
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name="reddit_tifu",
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data_url="https://fewsion.s3.us-east-2.amazonaws.com/reddit_tifu.zip",
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)
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]
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-
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def _info(self):
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features = {feature: datasets.Value("string") for feature in self.config.features}
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-
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return datasets.DatasetInfo(
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description="",
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features=datasets.Features(features),
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homepage="",
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citation="",
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)
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-
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def _split_generators(self, dl_manager):
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dl_dir = dl_manager.download_and_extract(self.config.data_url)
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task_name = _get_task_name_from_data_url(self.config.data_url)
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dl_dir = os.path.join(dl_dir, task_name)
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-
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data_files = {} if self.config.data_files is not None else None
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if data_files is not None:
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for split, paths in self.config.data_files.items():
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data_files[split] = paths[0]
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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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gen_kwargs={
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"data_file": os.path.join(dl_dir, "train.jsonl"),
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"split": datasets.Split.TRAIN,
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.VALIDATION,
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gen_kwargs={
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"data_file": os.path.join(dl_dir, "val.jsonl"),
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"split": datasets.Split.VALIDATION,
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
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"data_file": os.path.join(dl_dir, "test.jsonl") if data_files is None else data_files["test"],
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"split": datasets.Split.TEST,
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},
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),
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]
|
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-
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def _generate_examples(self, data_file, split):
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with open(data_file, encoding="utf-8") as f:
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for line in f:
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row = json.loads(line)
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yield row[self.config.id_column_name], row
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-
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-
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def _get_task_name_from_data_url(data_url):
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return data_url.split("/")[-1].split(".")[0]
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reddit_tifu/fs-test.parquet
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f49882a37a51f9f21d5a00b285fe985ccbcfa15db650988b02c65305e1cac65d
|
3 |
+
size 2781897
|
reddit_tifu/fs-train.parquet
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0f5691fdf1a0c309b9ba2a123521a30a8873976ae646dcb7d093450d42920adf
|
3 |
+
size 51114012
|
reddit_tifu/fs-validation.parquet
ADDED
@@ -0,0 +1,3 @@
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|
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|
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|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7a66fab0e4140fae1500f72ab90ed801659852708bd2054130b276a0d43303a0
|
3 |
+
size 2804519
|