Convert dataset to Parquet

#3
by albertvillanova HF staff - opened
README.md CHANGED
@@ -21,24 +21,12 @@ task_ids:
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  - text-simplification
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  paperswithcode_id: asset
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  pretty_name: ASSET
 
 
 
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  tags:
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  - simplification-evaluation
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  dataset_info:
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- - config_name: simplification
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- features:
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- - name: original
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- dtype: string
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- - name: simplifications
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- sequence: string
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- splits:
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- - name: validation
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- num_bytes: 2303496
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- num_examples: 2000
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- - name: test
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- num_bytes: 411031
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- num_examples: 359
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- download_size: 3639353
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- dataset_size: 2714527
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  - config_name: ratings
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  features:
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  - name: original
@@ -60,13 +48,37 @@ dataset_info:
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  dtype: int32
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  splits:
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  - name: full
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- num_bytes: 1036853
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  num_examples: 4500
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- download_size: 3639353
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- dataset_size: 1036853
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- config_names:
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- - ratings
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- - simplification
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
70
  ---
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  # Dataset Card for ASSET
 
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  - text-simplification
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  paperswithcode_id: asset
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  pretty_name: ASSET
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+ config_names:
25
+ - ratings
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+ - simplification
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  tags:
28
  - simplification-evaluation
29
  dataset_info:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
30
  - config_name: ratings
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  features:
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  - name: original
 
48
  dtype: int32
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  splits:
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  - name: full
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+ num_bytes: 1036845
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  num_examples: 4500
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+ download_size: 44642
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+ dataset_size: 1036845
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+ - config_name: simplification
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+ features:
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+ - name: original
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+ dtype: string
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+ - name: simplifications
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+ sequence: string
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+ splits:
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+ - name: validation
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+ num_bytes: 2303484
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+ num_examples: 2000
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+ - name: test
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+ num_bytes: 411019
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+ num_examples: 359
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+ download_size: 1055163
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+ dataset_size: 2714503
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+ configs:
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+ - config_name: ratings
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+ data_files:
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+ - split: full
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+ path: ratings/full-*
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+ - config_name: simplification
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+ data_files:
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+ - split: validation
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+ path: simplification/validation-*
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+ - split: test
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+ path: simplification/test-*
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+ default: true
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  ---
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  # Dataset Card for ASSET
asset.py DELETED
@@ -1,174 +0,0 @@
1
- # coding=utf-8
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- # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
3
- #
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- # Licensed under the Apache License, Version 2.0 (the "License");
5
- # you may not use this file except in compliance with the License.
6
- # You may obtain a copy of the License at
7
- #
8
- # http://www.apache.org/licenses/LICENSE-2.0
9
- #
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- # Unless required by applicable law or agreed to in writing, software
11
- # distributed under the License is distributed on an "AS IS" BASIS,
12
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13
- # See the License for the specific language governing permissions and
14
- # limitations under the License.
15
- """ASSET: a dataset for sentence simplification evaluation"""
16
-
17
-
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- import csv
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-
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- import datasets
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-
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-
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- _CITATION = """\
24
- @inproceedings{alva-manchego-etal-2020-asset,
25
- title = "{ASSET}: {A} Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations",
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- author = "Alva-Manchego, Fernando and
27
- Martin, Louis and
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- Bordes, Antoine and
29
- Scarton, Carolina and
30
- Sagot, Benoit and
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- Specia, Lucia",
32
- booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
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- month = jul,
34
- year = "2020",
35
- address = "Online",
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- publisher = "Association for Computational Linguistics",
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- url = "https://www.aclweb.org/anthology/2020.acl-main.424",
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- pages = "4668--4679",
39
- }
40
- """
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-
42
- _DESCRIPTION = """\
43
- ASSET is a dataset for evaluating Sentence Simplification systems with multiple rewriting transformations,
44
- as described in "ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations".
45
- The corpus is composed of 2000 validation and 359 test original sentences that were each simplified 10 times by different annotators.
46
- The corpus also contains human judgments of meaning preservation, fluency and simplicity for the outputs of several automatic text simplification systems.
47
- """
48
-
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- _HOMEPAGE = "https://github.com/facebookresearch/asset"
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-
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- _LICENSE = "Creative Common Attribution-NonCommercial 4.0 International"
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-
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- _URL_LIST = [
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- (
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- "human_ratings.csv",
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- "https://raw.githubusercontent.com/facebookresearch/asset/main/human_ratings/human_ratings.csv",
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- ),
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- (
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- "asset.valid.orig",
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- "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.orig",
61
- ),
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- (
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- "asset.test.orig",
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- "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.orig",
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- ),
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- ]
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- _URL_LIST += [
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- (
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- f"asset.{spl}.simp.{i}",
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- f"https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.{spl}.simp.{i}",
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- )
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- for spl in ["valid", "test"]
73
- for i in range(10)
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- ]
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-
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- _URLs = dict(_URL_LIST)
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-
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-
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- class Asset(datasets.GeneratorBasedBuilder):
80
-
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- VERSION = datasets.Version("1.0.0")
82
-
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- BUILDER_CONFIGS = [
84
- datasets.BuilderConfig(
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- name="simplification",
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- version=VERSION,
87
- description="A set of original sentences aligned with 10 possible simplifications for each.",
88
- ),
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- datasets.BuilderConfig(
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- name="ratings",
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- version=VERSION,
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- description="Human ratings of automatically produced text implification.",
93
- ),
94
- ]
95
-
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- DEFAULT_CONFIG_NAME = "simplification"
97
-
98
- def _info(self):
99
- if self.config.name == "simplification":
100
- features = datasets.Features(
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- {
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- "original": datasets.Value("string"),
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- "simplifications": datasets.Sequence(datasets.Value("string")),
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- }
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- )
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- else:
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- features = datasets.Features(
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- {
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- "original": datasets.Value("string"),
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- "simplification": datasets.Value("string"),
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- "original_sentence_id": datasets.Value("int32"),
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- "aspect": datasets.ClassLabel(names=["meaning", "fluency", "simplicity"]),
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- "worker_id": datasets.Value("int32"),
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- "rating": datasets.Value("int32"),
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- }
116
- )
117
- return datasets.DatasetInfo(
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- description=_DESCRIPTION,
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- features=features,
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- supervised_keys=None,
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- homepage=_HOMEPAGE,
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- license=_LICENSE,
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- citation=_CITATION,
124
- )
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-
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- def _split_generators(self, dl_manager):
127
- data_dir = dl_manager.download_and_extract(_URLs)
128
- if self.config.name == "simplification":
129
- return [
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- datasets.SplitGenerator(
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- name=datasets.Split.VALIDATION,
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- gen_kwargs={
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- "filepaths": data_dir,
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- "split": "valid",
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- },
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- ),
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- datasets.SplitGenerator(
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- name=datasets.Split.TEST,
139
- gen_kwargs={"filepaths": data_dir, "split": "test"},
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- ),
141
- ]
142
- else:
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- return [
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- datasets.SplitGenerator(
145
- name="full",
146
- gen_kwargs={
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- "filepaths": data_dir,
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- "split": "full",
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- },
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- ),
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- ]
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-
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- def _generate_examples(self, filepaths, split):
154
- """Yields examples."""
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- if self.config.name == "simplification":
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- files = [open(filepaths[f"asset.{split}.orig"], encoding="utf-8")] + [
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- open(filepaths[f"asset.{split}.simp.{i}"], encoding="utf-8") for i in range(10)
158
- ]
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- for id_, lines in enumerate(zip(*files)):
160
- yield id_, {
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- "original": lines[0].strip(),
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- "simplifications": [line.strip() for line in lines[1:]],
163
- }
164
- else:
165
- with open(filepaths["human_ratings.csv"], encoding="utf-8") as f:
166
- reader = csv.reader(f, delimiter=",")
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- for id_, row in enumerate(reader):
168
- if id_ == 0:
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- keys = row[:]
170
- else:
171
- res = dict([(k, v) for k, v in zip(keys, row)])
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- for k in ["original_sentence_id", "worker_id", "rating"]:
173
- res[k] = int(res[k])
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- yield (id_ - 1), res
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
dataset_infos.json DELETED
@@ -1 +0,0 @@
1
- {"simplification": {"description": "ASSET is a dataset for evaluating Sentence Simplification systems with multiple rewriting transformations,\nas described in \"ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations\".\nThe corpus is composed of 2000 validation and 359 test original sentences that were each simplified 10 times by different annotators.\nThe corpus also contains human judgments of meaning preservation, fluency and simplicity for the outputs of several automatic text simplification systems.\n", "citation": "@inproceedings{alva-manchego-etal-2020-asset,\n title = \"{ASSET}: {A} Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations\",\n author = \"Alva-Manchego, Fernando and\n Martin, Louis and\n Bordes, Antoine and\n Scarton, Carolina and\n Sagot, Benoit and\n Specia, Lucia\",\n booktitle = \"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics\",\n month = jul,\n year = \"2020\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://www.aclweb.org/anthology/2020.acl-main.424\",\n pages = \"4668--4679\",\n}\n", "homepage": "https://github.com/facebookresearch/asset", "license": "Creative Common Attribution-NonCommercial 4.0 International", "features": {"original": {"dtype": "string", "id": null, "_type": "Value"}, "simplifications": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "asset", "config_name": "simplification", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"validation": {"name": "validation", "num_bytes": 2303496, "num_examples": 2000, "dataset_name": "asset"}, "test": {"name": "test", "num_bytes": 411031, "num_examples": 359, 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