Convert dataset to Parquet

#4
by albertvillanova HF staff - opened
README.md CHANGED
@@ -58,13 +58,20 @@ dataset_info:
58
  dtype: string
59
  splits:
60
  - name: train
61
- num_bytes: 1829167
62
  num_examples: 8437
63
  - name: test
64
- num_bytes: 458218
65
  num_examples: 2110
66
- download_size: 750717
67
- dataset_size: 2287385
 
 
 
 
 
 
 
68
  ---
69
 
70
  # Dataset Card for ArSarcasm
 
58
  dtype: string
59
  splits:
60
  - name: train
61
+ num_bytes: 1829159
62
  num_examples: 8437
63
  - name: test
64
+ num_bytes: 458210
65
  num_examples: 2110
66
+ download_size: 1180619
67
+ dataset_size: 2287369
68
+ configs:
69
+ - config_name: default
70
+ data_files:
71
+ - split: train
72
+ path: data/train-*
73
+ - split: test
74
+ path: data/test-*
75
  ---
76
 
77
  # Dataset Card for ArSarcasm
ar_sarcasm.py DELETED
@@ -1,110 +0,0 @@
1
- # coding=utf-8
2
- # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
3
- #
4
- # 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
- #
10
- # 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
-
16
-
17
- import csv
18
- import os
19
-
20
- import datasets
21
-
22
-
23
- # no BibTeX citation
24
- _CITATION = """@inproceedings{abu-farha-magdy-2020-arabic,
25
- title = "From {A}rabic Sentiment Analysis to Sarcasm Detection: The {A}r{S}arcasm Dataset",
26
- author = "Abu Farha, Ibrahim and Magdy, Walid",
27
- booktitle = "Proceedings of the 4th Workshop on Open-Source Arabic Corpora and Processing Tools, with a Shared Task on Offensive Language Detection",
28
- month = may,
29
- year = "2020",
30
- address = "Marseille, France",
31
- publisher = "European Language Resource Association",
32
- url = "https://www.aclweb.org/anthology/2020.osact-1.5",
33
- pages = "32--39",
34
- language = "English",
35
- ISBN = "979-10-95546-51-1",
36
- }"""
37
-
38
- _DESCRIPTION = """\
39
- ArSarcasm is a new Arabic sarcasm detection dataset.
40
- The dataset was created using previously available Arabic sentiment analysis datasets (SemEval 2017 and ASTD)
41
- and adds sarcasm and dialect labels to them. The dataset contains 10,547 tweets, 1,682 (16%) of which are sarcastic.
42
- """
43
-
44
- _LICENSE = "MIT"
45
-
46
- # From: https://github.com/iabufarha/ArSarcasm/archive/master.zip
47
- _URLs = {
48
- "default": "data.zip",
49
- }
50
-
51
-
52
- class ArSarcasm(datasets.GeneratorBasedBuilder):
53
- VERSION = datasets.Version("1.0.0")
54
-
55
- def _info(self):
56
- features = datasets.Features(
57
- {
58
- "dialect": datasets.ClassLabel(names=["egypt", "gulf", "levant", "magreb", "msa"]),
59
- "sarcasm": datasets.ClassLabel(names=["non-sarcastic", "sarcastic"]),
60
- "sentiment": datasets.ClassLabel(names=["negative", "neutral", "positive"]),
61
- "original_sentiment": datasets.ClassLabel(names=["negative", "neutral", "positive"]),
62
- "tweet": datasets.Value("string"),
63
- "source": datasets.Value("string"),
64
- }
65
- )
66
- return datasets.DatasetInfo(
67
- description=_DESCRIPTION,
68
- features=features,
69
- supervised_keys=None,
70
- homepage="https://github.com/iabufarha/ArSarcasm",
71
- license=_LICENSE,
72
- citation=_CITATION,
73
- )
74
-
75
- def _split_generators(self, dl_manager):
76
- my_urls = _URLs[self.config.name]
77
- data_dir = dl_manager.download_and_extract(my_urls)
78
-
79
- return [
80
- datasets.SplitGenerator(
81
- name=datasets.Split.TRAIN,
82
- gen_kwargs={
83
- "filepath": os.path.join(data_dir, "ArSarcasm-master", "dataset", "ArSarcasm_train.csv"),
84
- },
85
- ),
86
- datasets.SplitGenerator(
87
- name=datasets.Split.TEST,
88
- gen_kwargs={
89
- "filepath": os.path.join(data_dir, "ArSarcasm-master", "dataset", "ArSarcasm_test.csv"),
90
- },
91
- ),
92
- ]
93
-
94
- def _generate_examples(self, filepath):
95
- with open(filepath, encoding="utf-8") as f:
96
- rdr = csv.reader(f, delimiter=",")
97
- next(rdr)
98
- for id_, row in enumerate(rdr):
99
- if len(row) < 6:
100
- continue
101
- if row[4][0] == '"' and row[4][-1] == '"':
102
- row[4] = row[4][1:-1]
103
- yield id_, {
104
- "dialect": row[0],
105
- "sarcasm": "sarcastic" if row[1] == "True" else "non-sarcastic",
106
- "sentiment": row[2],
107
- "original_sentiment": row[3],
108
- "tweet": row[4],
109
- "source": row[5],
110
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
data.zip → data/test-00000-of-00001.parquet RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b3e64f59e34d42543a8ee31dc1ca0d447ff368074ef2bcdfa479f505148f7e61
3
- size 750718
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cc52d603c68a4b886ffba5a1674a2dc34797449add6aa6ceb0ff1b38f4fef023
3
+ size 239166
data/train-00000-of-00001.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a1841c0864a1de32495e8040b409f5ffc1cdafffb27b117c7f716eba2db82c93
3
+ size 941453
dataset_infos.json DELETED
@@ -1 +0,0 @@
1
- {"default": {"description": "ArSarcasm is a new Arabic sarcasm detection dataset.\nThe dataset was created using previously available Arabic sentiment analysis datasets (SemEval 2017 and ASTD)\n and adds sarcasm and dialect labels to them. The dataset contains 10,547 tweets, 1,682 (16%) of which are sarcastic.\n", "citation": "@inproceedings{abu-farha-magdy-2020-arabic,\n title = \"From {A}rabic Sentiment Analysis to Sarcasm Detection: The {A}r{S}arcasm Dataset\",\n author = \"Abu Farha, Ibrahim and Magdy, Walid\",\n booktitle = \"Proceedings of the 4th Workshop on Open-Source Arabic Corpora and Processing Tools, with a Shared Task on Offensive Language Detection\",\n month = may,\n year = \"2020\",\n address = \"Marseille, France\",\n publisher = \"European Language Resource Association\",\n url = \"https://www.aclweb.org/anthology/2020.osact-1.5\",\n pages = \"32--39\",\n language = \"English\",\n ISBN = \"979-10-95546-51-1\",\n}", "homepage": "https://github.com/iabufarha/ArSarcasm", "license": "MIT", "features": {"dialect": {"num_classes": 5, "names": ["egypt", "gulf", "levant", "magreb", "msa"], "names_file": null, "id": null, "_type": "ClassLabel"}, "sarcasm": {"num_classes": 2, "names": ["non-sarcastic", "sarcastic"], "names_file": null, "id": null, "_type": "ClassLabel"}, "sentiment": {"num_classes": 3, "names": ["negative", "neutral", "positive"], "names_file": null, "id": null, "_type": "ClassLabel"}, "original_sentiment": {"num_classes": 3, "names": ["negative", "neutral", "positive"], "names_file": null, "id": null, "_type": "ClassLabel"}, "tweet": {"dtype": "string", "id": null, "_type": "Value"}, "source": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "ar_sarcasm", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1829167, "num_examples": 8437, "dataset_name": "ar_sarcasm"}, "test": {"name": "test", "num_bytes": 458218, "num_examples": 2110, "dataset_name": "ar_sarcasm"}}, "download_checksums": {"https://github.com/iabufarha/ArSarcasm/archive/master.zip": {"num_bytes": 750717, "checksum": "a148877c4c933827d83b6e679880eeccf58b751c5ed5785f2f5a93aa950d0d41"}}, "download_size": 750717, "post_processing_size": null, "dataset_size": 2287385, "size_in_bytes": 3038102}}