Datasets:
QCRI
/

Modalities:
Text
Formats:
parquet
Languages:
Arabic
ArXiv:
Libraries:
Datasets
pandas
License:
albertvillanova HF staff commited on
Commit
897e2ce
1 Parent(s): 1c36271

Convert dataset to Parquet (#1)

Browse files

- Convert dataset to Parquet (407c46e2cf39a491f73ae402c06ee09a215c7282)
- Add glf data files (d781cbf0e5b856c2780427cccfa1e0eaea1ef3c7)
- Add lev data files (27970e84e3faf094a95294b1a22dbec1b719a5e3)
- Add mgr data files (c2a239af7b24ac30fb967280f2a9bfc28d97f893)
- Delete loading script (7474812d4877499214b140592795ef6c58552336)
- Delete legacy dataset_infos.json (5ac60ba2f1c7eba6bdc045ad19886160729a6dff)

README.md CHANGED
@@ -17,7 +17,6 @@ task_categories:
17
  - token-classification
18
  task_ids:
19
  - part-of-speech
20
- paperswithcode_id: null
21
  pretty_name: Arabic POS Dialect
22
  dataset_info:
23
  - config_name: egy
@@ -34,11 +33,11 @@ dataset_info:
34
  sequence: string
35
  splits:
36
  - name: train
37
- num_bytes: 269657
38
  num_examples: 350
39
- download_size: 1043655
40
- dataset_size: 269657
41
- - config_name: lev
42
  features:
43
  - name: fold
44
  dtype: int32
@@ -52,11 +51,11 @@ dataset_info:
52
  sequence: string
53
  splits:
54
  - name: train
55
- num_bytes: 263130
56
  num_examples: 350
57
- download_size: 1043655
58
- dataset_size: 263130
59
- - config_name: glf
60
  features:
61
  - name: fold
62
  dtype: int32
@@ -70,10 +69,10 @@ dataset_info:
70
  sequence: string
71
  splits:
72
  - name: train
73
- num_bytes: 239911
74
  num_examples: 350
75
- download_size: 1043655
76
- dataset_size: 239911
77
  - config_name: mgr
78
  features:
79
  - name: fold
@@ -88,10 +87,27 @@ dataset_info:
88
  sequence: string
89
  splits:
90
  - name: train
91
- num_bytes: 245745
92
  num_examples: 350
93
- download_size: 1043655
94
- dataset_size: 245745
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
95
  ---
96
 
97
  # Dataset Card for Arabic POS Dialect
 
17
  - token-classification
18
  task_ids:
19
  - part-of-speech
 
20
  pretty_name: Arabic POS Dialect
21
  dataset_info:
22
  - config_name: egy
 
33
  sequence: string
34
  splits:
35
  - name: train
36
+ num_bytes: 269629
37
  num_examples: 350
38
+ download_size: 89684
39
+ dataset_size: 269629
40
+ - config_name: glf
41
  features:
42
  - name: fold
43
  dtype: int32
 
51
  sequence: string
52
  splits:
53
  - name: train
54
+ num_bytes: 239883
55
  num_examples: 350
56
+ download_size: 89178
57
+ dataset_size: 239883
58
+ - config_name: lev
59
  features:
60
  - name: fold
61
  dtype: int32
 
69
  sequence: string
70
  splits:
71
  - name: train
72
+ num_bytes: 263102
73
  num_examples: 350
74
+ download_size: 97055
75
+ dataset_size: 263102
76
  - config_name: mgr
77
  features:
78
  - name: fold
 
87
  sequence: string
88
  splits:
89
  - name: train
90
+ num_bytes: 245717
91
  num_examples: 350
92
+ download_size: 90503
93
+ dataset_size: 245717
94
+ configs:
95
+ - config_name: egy
96
+ data_files:
97
+ - split: train
98
+ path: egy/train-*
99
+ - config_name: glf
100
+ data_files:
101
+ - split: train
102
+ path: glf/train-*
103
+ - config_name: lev
104
+ data_files:
105
+ - split: train
106
+ path: lev/train-*
107
+ - config_name: mgr
108
+ data_files:
109
+ - split: train
110
+ path: mgr/train-*
111
  ---
112
 
113
  # Dataset Card for Arabic POS Dialect
arabic_pos_dialect.py DELETED
@@ -1,153 +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
- """TODO: Add a description here."""
16
-
17
-
18
- import csv
19
-
20
- import datasets
21
-
22
-
23
- _CITATION = """
24
- @InProceedings{DARWISH18.562, author = {Kareem Darwish ,Hamdy Mubarak ,Ahmed Abdelali ,Mohamed Eldesouki ,Younes Samih ,Randah Alharbi ,Mohammed Attia ,Walid Magdy and Laura Kallmeyer},
25
- title = {Multi-Dialect Arabic POS Tagging: A CRF Approach},
26
- booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
27
- year = {2018},
28
- month = {may},
29
- date = {7-12},
30
- location = {Miyazaki, Japan},
31
- editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},
32
- publisher = {European Language Resources Association (ELRA)},
33
- address = {Paris, France},
34
- isbn = {979-10-95546-00-9},
35
- language = {english}
36
- }
37
- """
38
-
39
- _DESCRIPTION = """\
40
- The Dialectal Arabic Datasets contain four dialects of Arabic, Etyptian (EGY), Levantine (LEV), Gulf (GLF), and Maghrebi (MGR). Each dataset consists of a set of 350 manually segmented and POS tagged tweets.
41
- """
42
-
43
- _URL = "https://github.com/qcri/dialectal_arabic_resources/raw/master/"
44
- _DIALECTS = ["egy", "lev", "glf", "mgr"]
45
-
46
-
47
- class ArabicPosDialectConfig(datasets.BuilderConfig):
48
- """BuilderConfig for ArabicPosDialect"""
49
-
50
- def __init__(self, dialect=None, **kwargs):
51
- """
52
-
53
- Args:
54
- dialect: the 3-letter code string of the dialect set that will be used.
55
- Code should be one of the following: egy, lev, glf, mgr.
56
- **kwargs: keyword arguments forwarded to super.
57
- """
58
- super(ArabicPosDialectConfig, self).__init__(**kwargs)
59
- assert dialect in _DIALECTS, ("Invalid dialect code: %s", dialect)
60
- self.dialect = dialect
61
-
62
-
63
- class ArabicPosDialect(datasets.GeneratorBasedBuilder):
64
- """POS-tagged Arabic tweets in four major dialects."""
65
-
66
- VERSION = datasets.Version("1.1.0")
67
- BUILDER_CONFIG_CLASS = ArabicPosDialectConfig
68
- BUILDER_CONFIGS = [
69
- ArabicPosDialectConfig(
70
- name=dialect,
71
- dialect=dialect,
72
- description=f"A set of 350 tweets in the {dialect} dialect of Arabic that have been manually segmented and POS tagged.",
73
- )
74
- for dialect in _DIALECTS
75
- ]
76
-
77
- def _info(self):
78
- return datasets.DatasetInfo(
79
- description=_DESCRIPTION,
80
- features=datasets.Features(
81
- {
82
- "fold": datasets.Value("int32"),
83
- "subfold": datasets.Value("string"),
84
- "words": datasets.Sequence(datasets.Value("string")),
85
- "segments": datasets.Sequence(datasets.Value("string")),
86
- "pos_tags": datasets.Sequence(datasets.Value("string")),
87
- }
88
- ),
89
- # If there's a common (input, target) tuple from the features,
90
- # specify them here. They'll be used if as_supervised=True in
91
- # builder.as_dataset.
92
- supervised_keys=None,
93
- homepage="https://alt.qcri.org/resources/da_resources/",
94
- citation=_CITATION,
95
- )
96
-
97
- def _split_generators(self, dl_manager):
98
- """Returns SplitGenerators."""
99
- # TODO: Downloads the data and defines the splits
100
- # dl_manager is a datasets.download.DownloadManager that can be used to
101
- # download and extract URLs
102
- urls_to_download = {dialect: _URL + f"seg_plus_pos_{dialect}.txt" for dialect in _DIALECTS}
103
- dl_dir = dl_manager.download_and_extract(urls_to_download)
104
- return [
105
- datasets.SplitGenerator(
106
- name=datasets.Split.TRAIN,
107
- # These kwargs will be passed to _generate_examples
108
- gen_kwargs={"filepath": dl_dir[self.config.dialect]},
109
- )
110
- ]
111
-
112
- def _generate_examples(self, filepath):
113
- """Yields examples in the raw (text) form."""
114
- with open(filepath, encoding="utf-8") as csv_file:
115
- reader = csv.DictReader(csv_file, delimiter="\t", quoting=csv.QUOTE_NONE)
116
- fold = -1
117
- subfold = ""
118
- words = []
119
- segments = []
120
- pos_tags = []
121
- curr_sent = -1
122
- for idx, row in enumerate(reader):
123
- # first example
124
- if fold == -1:
125
- fold = row["Fold"]
126
- subfold = row["SubFold"]
127
- curr_sent = int(row["SentID"])
128
- if int(row["SentID"]) != curr_sent:
129
- yield curr_sent, {
130
- "fold": fold,
131
- "subfold": subfold,
132
- "words": words,
133
- "segments": segments,
134
- "pos_tags": pos_tags,
135
- }
136
- fold = row["Fold"]
137
- subfold = row["SubFold"]
138
- words = [row["Word"]]
139
- segments = [row["Segmentation"]]
140
- pos_tags = [row["POS"]]
141
- curr_sent = int(row["SentID"])
142
- else:
143
- words.append(row["Word"])
144
- segments.append(row["Segmentation"])
145
- pos_tags.append(row["POS"])
146
- # last example
147
- yield curr_sent, {
148
- "fold": fold,
149
- "subfold": subfold,
150
- "words": words,
151
- "segments": segments,
152
- "pos_tags": pos_tags,
153
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
dataset_infos.json DELETED
@@ -1 +0,0 @@
1
- {"egy": {"description": "The Dialectal Arabic Datasets contain four dialects of Arabic, Etyptian (EGY), Levantine (LEV), Gulf (GLF), and Maghrebi (MGR). Each dataset consists of a set of 350 manually segmented and POS tagged tweets.\n", "citation": "\n@InProceedings{DARWISH18.562, author = {Kareem Darwish ,Hamdy Mubarak ,Ahmed Abdelali ,Mohamed Eldesouki ,Younes Samih ,Randah Alharbi ,Mohammed Attia ,Walid Magdy and Laura Kallmeyer},\ntitle = {Multi-Dialect Arabic POS Tagging: A CRF Approach},\nbooktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},\nyear = {2018},\nmonth = {may},\ndate = {7-12},\nlocation = {Miyazaki, Japan},\neditor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and H\u00e9l\u00e8ne Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},\npublisher = {European Language Resources Association (ELRA)},\naddress = {Paris, France},\nisbn = {979-10-95546-00-9},\nlanguage = {english}\n}\n", "homepage": "https://alt.qcri.org/resources/da_resources/", "license": "", "features": {"fold": {"dtype": "int32", "id": null, "_type": "Value"}, "subfold": {"dtype": "string", "id": null, "_type": "Value"}, "words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "segments": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "pos_tags": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "arabic_pos_dialect", "config_name": "egy", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 269657, "num_examples": 350, "dataset_name": "arabic_pos_dialect"}}, "download_checksums": {"https://github.com/qcri/dialectal_arabic_resources/raw/master/seg_plus_pos_egy.txt": {"num_bytes": 290070, "checksum": "13977060df1266eb5084c724b0109ec946a12304d24bf18810bc2e662146dfd5"}, "https://github.com/qcri/dialectal_arabic_resources/raw/master/seg_plus_pos_lev.txt": {"num_bytes": 265356, "checksum": "dd6741ab80a605b290dd0c82c7b20670b4ecc8ae982d9762660266c7fd4c0036"}, "https://github.com/qcri/dialectal_arabic_resources/raw/master/seg_plus_pos_glf.txt": {"num_bytes": 241428, "checksum": "a719b071806ae9398182817aef87abd240393fbc2f98b24361a94f219c3daa31"}, "https://github.com/qcri/dialectal_arabic_resources/raw/master/seg_plus_pos_mgr.txt": {"num_bytes": 246801, "checksum": "86ca158dc5981a84d25078a2063e8e081ecca7d5437f49b63b4ebd531042476a"}}, "download_size": 1043655, "post_processing_size": null, "dataset_size": 269657, "size_in_bytes": 1313312}, "lev": {"description": "The Dialectal Arabic Datasets contain four dialects of Arabic, Etyptian (EGY), Levantine (LEV), Gulf (GLF), and Maghrebi (MGR). Each dataset consists of a set of 350 manually segmented and POS tagged tweets.\n", "citation": "\n@InProceedings{DARWISH18.562, author = {Kareem Darwish ,Hamdy Mubarak ,Ahmed Abdelali ,Mohamed Eldesouki ,Younes Samih ,Randah Alharbi ,Mohammed Attia ,Walid Magdy and Laura Kallmeyer},\ntitle = {Multi-Dialect Arabic POS Tagging: A CRF Approach},\nbooktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},\nyear = {2018},\nmonth = {may},\ndate = {7-12},\nlocation = {Miyazaki, Japan},\neditor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and H\u00e9l\u00e8ne Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},\npublisher = {European Language Resources Association (ELRA)},\naddress = {Paris, France},\nisbn = {979-10-95546-00-9},\nlanguage = {english}\n}\n", "homepage": "https://alt.qcri.org/resources/da_resources/", "license": "", "features": {"fold": {"dtype": "int32", "id": null, "_type": "Value"}, "subfold": {"dtype": "string", "id": null, "_type": "Value"}, "words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "segments": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "pos_tags": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "arabic_pos_dialect", "config_name": "lev", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 263130, "num_examples": 350, "dataset_name": "arabic_pos_dialect"}}, "download_checksums": {"https://github.com/qcri/dialectal_arabic_resources/raw/master/seg_plus_pos_egy.txt": {"num_bytes": 290070, "checksum": "13977060df1266eb5084c724b0109ec946a12304d24bf18810bc2e662146dfd5"}, "https://github.com/qcri/dialectal_arabic_resources/raw/master/seg_plus_pos_lev.txt": {"num_bytes": 265356, "checksum": "dd6741ab80a605b290dd0c82c7b20670b4ecc8ae982d9762660266c7fd4c0036"}, "https://github.com/qcri/dialectal_arabic_resources/raw/master/seg_plus_pos_glf.txt": {"num_bytes": 241428, "checksum": "a719b071806ae9398182817aef87abd240393fbc2f98b24361a94f219c3daa31"}, "https://github.com/qcri/dialectal_arabic_resources/raw/master/seg_plus_pos_mgr.txt": {"num_bytes": 246801, "checksum": "86ca158dc5981a84d25078a2063e8e081ecca7d5437f49b63b4ebd531042476a"}}, "download_size": 1043655, "post_processing_size": null, "dataset_size": 263130, "size_in_bytes": 1306785}, "glf": {"description": "The Dialectal Arabic Datasets contain four dialects of Arabic, Etyptian (EGY), Levantine (LEV), Gulf (GLF), and Maghrebi (MGR). Each dataset consists of a set of 350 manually segmented and POS tagged tweets.\n", "citation": "\n@InProceedings{DARWISH18.562, author = {Kareem Darwish ,Hamdy Mubarak ,Ahmed Abdelali ,Mohamed Eldesouki ,Younes Samih ,Randah Alharbi ,Mohammed Attia ,Walid Magdy and Laura Kallmeyer},\ntitle = {Multi-Dialect Arabic POS Tagging: A CRF Approach},\nbooktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},\nyear = {2018},\nmonth = {may},\ndate = {7-12},\nlocation = {Miyazaki, Japan},\neditor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and H\u00e9l\u00e8ne Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},\npublisher = {European Language Resources Association (ELRA)},\naddress = {Paris, France},\nisbn = {979-10-95546-00-9},\nlanguage = {english}\n}\n", "homepage": "https://alt.qcri.org/resources/da_resources/", "license": "", "features": {"fold": {"dtype": "int32", "id": null, "_type": "Value"}, "subfold": {"dtype": "string", "id": null, "_type": "Value"}, "words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "segments": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "pos_tags": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "arabic_pos_dialect", "config_name": "glf", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 239911, "num_examples": 350, "dataset_name": "arabic_pos_dialect"}}, "download_checksums": {"https://github.com/qcri/dialectal_arabic_resources/raw/master/seg_plus_pos_egy.txt": {"num_bytes": 290070, "checksum": "13977060df1266eb5084c724b0109ec946a12304d24bf18810bc2e662146dfd5"}, "https://github.com/qcri/dialectal_arabic_resources/raw/master/seg_plus_pos_lev.txt": {"num_bytes": 265356, "checksum": "dd6741ab80a605b290dd0c82c7b20670b4ecc8ae982d9762660266c7fd4c0036"}, "https://github.com/qcri/dialectal_arabic_resources/raw/master/seg_plus_pos_glf.txt": {"num_bytes": 241428, "checksum": "a719b071806ae9398182817aef87abd240393fbc2f98b24361a94f219c3daa31"}, "https://github.com/qcri/dialectal_arabic_resources/raw/master/seg_plus_pos_mgr.txt": {"num_bytes": 246801, "checksum": "86ca158dc5981a84d25078a2063e8e081ecca7d5437f49b63b4ebd531042476a"}}, "download_size": 1043655, "post_processing_size": null, "dataset_size": 239911, "size_in_bytes": 1283566}, "mgr": {"description": "The Dialectal Arabic Datasets contain four dialects of Arabic, Etyptian (EGY), Levantine (LEV), Gulf (GLF), and Maghrebi (MGR). Each dataset consists of a set of 350 manually segmented and POS tagged tweets.\n", "citation": "\n@InProceedings{DARWISH18.562, author = {Kareem Darwish ,Hamdy Mubarak ,Ahmed Abdelali ,Mohamed Eldesouki ,Younes Samih ,Randah Alharbi ,Mohammed Attia ,Walid Magdy and Laura Kallmeyer},\ntitle = {Multi-Dialect Arabic POS Tagging: A CRF Approach},\nbooktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},\nyear = {2018},\nmonth = {may},\ndate = {7-12},\nlocation = {Miyazaki, Japan},\neditor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and H\u00e9l\u00e8ne Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},\npublisher = {European Language Resources Association (ELRA)},\naddress = {Paris, France},\nisbn = {979-10-95546-00-9},\nlanguage = {english}\n}\n", "homepage": "https://alt.qcri.org/resources/da_resources/", "license": "", "features": {"fold": {"dtype": "int32", "id": null, "_type": "Value"}, "subfold": {"dtype": "string", "id": null, "_type": "Value"}, "words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "segments": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "pos_tags": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "arabic_pos_dialect", "config_name": "mgr", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 245745, "num_examples": 350, "dataset_name": "arabic_pos_dialect"}}, "download_checksums": {"https://github.com/qcri/dialectal_arabic_resources/raw/master/seg_plus_pos_egy.txt": {"num_bytes": 290070, "checksum": "13977060df1266eb5084c724b0109ec946a12304d24bf18810bc2e662146dfd5"}, "https://github.com/qcri/dialectal_arabic_resources/raw/master/seg_plus_pos_lev.txt": {"num_bytes": 265356, "checksum": "dd6741ab80a605b290dd0c82c7b20670b4ecc8ae982d9762660266c7fd4c0036"}, "https://github.com/qcri/dialectal_arabic_resources/raw/master/seg_plus_pos_glf.txt": {"num_bytes": 241428, "checksum": "a719b071806ae9398182817aef87abd240393fbc2f98b24361a94f219c3daa31"}, "https://github.com/qcri/dialectal_arabic_resources/raw/master/seg_plus_pos_mgr.txt": {"num_bytes": 246801, "checksum": "86ca158dc5981a84d25078a2063e8e081ecca7d5437f49b63b4ebd531042476a"}}, "download_size": 1043655, "post_processing_size": null, "dataset_size": 245745, "size_in_bytes": 1289400}}
 
 
egy/train-00000-of-00001.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5220c9c07c00bd4f467a8e56cd89a9fe8f89547a03d5466c05c9e74bb57a72c0
3
+ size 89684
glf/train-00000-of-00001.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:378d56f8b95b50732371472a40b7c604392c3b0e88f3b743ae77df1fddcd76e3
3
+ size 89178
lev/train-00000-of-00001.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:edca032e30325a5f264ec6afe63a257d3f501f826d9d455cbdee9c45272df90e
3
+ size 97055
mgr/train-00000-of-00001.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:21ebd490292dd3a632c7df756255d04b04135cb842c09d9a4021d84ca6622ba2
3
+ size 90503