Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
part-of-speech
Languages:
Arabic
Size:
1K - 10K
ArXiv:
License:
Commit
•
407c46e
1
Parent(s):
1c36271
Convert dataset to Parquet
Browse filesConvert dataset to Parquet.
- README.md +14 -10
- dataset_infos.json +326 -1
- egy/train-00000-of-00001.parquet +3 -0
README.md
CHANGED
@@ -17,7 +17,6 @@ task_categories:
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- token-classification
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task_ids:
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- part-of-speech
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-
paperswithcode_id: null
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pretty_name: Arabic POS Dialect
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dataset_info:
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- config_name: egy
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sequence: string
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splits:
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- name: train
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-
num_bytes:
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num_examples: 350
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download_size:
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dataset_size:
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- config_name:
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features:
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- name: fold
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dtype: int32
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sequence: string
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splits:
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- name: train
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num_bytes:
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num_examples: 350
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download_size: 1043655
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dataset_size:
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- config_name:
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features:
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- name: fold
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dtype: int32
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sequence: string
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splits:
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- name: train
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num_bytes:
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num_examples: 350
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download_size: 1043655
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dataset_size:
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- config_name: mgr
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features:
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- name: fold
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num_examples: 350
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download_size: 1043655
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dataset_size: 245745
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---
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# Dataset Card for Arabic POS Dialect
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- token-classification
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task_ids:
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- part-of-speech
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pretty_name: Arabic POS Dialect
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dataset_info:
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- config_name: egy
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sequence: string
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splits:
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- name: train
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+
num_bytes: 269629
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num_examples: 350
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+
download_size: 89684
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+
dataset_size: 269629
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+
- config_name: glf
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features:
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- name: fold
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dtype: int32
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sequence: string
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splits:
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- name: train
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+
num_bytes: 239911
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num_examples: 350
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download_size: 1043655
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+
dataset_size: 239911
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+
- config_name: lev
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features:
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- name: fold
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dtype: int32
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sequence: string
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splits:
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- name: train
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+
num_bytes: 263130
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num_examples: 350
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download_size: 1043655
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+
dataset_size: 263130
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- config_name: mgr
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features:
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- name: fold
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num_examples: 350
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download_size: 1043655
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dataset_size: 245745
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+
configs:
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+
- config_name: egy
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data_files:
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- split: train
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path: egy/train-*
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---
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# Dataset Card for Arabic POS Dialect
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dataset_infos.json
CHANGED
@@ -1 +1,326 @@
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-
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{
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"egy": {
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"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",
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