Datasets:
QCRI
/

Modalities:
Text
Formats:
parquet
Languages:
Arabic
ArXiv:
Libraries:
Datasets
pandas
License:
albertvillanova HF staff commited on
Commit
27970e8
1 Parent(s): d781cbf

Add lev data files

Browse files
README.md CHANGED
@@ -69,10 +69,10 @@ dataset_info:
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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
@@ -100,6 +100,10 @@ configs:
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  data_files:
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  - split: train
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  path: glf/train-*
 
 
 
 
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  ---
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  # Dataset Card for Arabic POS Dialect
 
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  sequence: string
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  splits:
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  - name: train
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+ num_bytes: 263102
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  num_examples: 350
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+ download_size: 97055
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+ dataset_size: 263102
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  - config_name: mgr
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  features:
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  - name: fold
 
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  data_files:
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  - split: train
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  path: glf/train-*
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+ - config_name: lev
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+ data_files:
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+ - split: train
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+ path: lev/train-*
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  ---
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  # Dataset Card for Arabic POS Dialect
dataset_infos.json CHANGED
@@ -64,52 +64,39 @@
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  "features": {
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  "fold": {
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  "dtype": "int32",
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- "id": null,
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  "_type": "Value"
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  },
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  "subfold": {
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  "dtype": "string",
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- "id": null,
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  "_type": "Value"
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  },
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  "words": {
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  "feature": {
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  "dtype": "string",
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- "id": null,
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  "_type": "Value"
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  },
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- "length": -1,
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- "id": null,
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  "_type": "Sequence"
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  },
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  "segments": {
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  "feature": {
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  "dtype": "string",
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- "id": null,
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  "_type": "Value"
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  },
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- "length": -1,
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- "id": null,
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  "_type": "Sequence"
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  },
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  "pos_tags": {
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  "feature": {
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  "dtype": "string",
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- "id": null,
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  "_type": "Value"
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  },
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- "length": -1,
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- "id": null,
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  "_type": "Sequence"
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  }
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  },
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- "post_processed": null,
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- "supervised_keys": null,
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- "builder_name": "arabic_pos_dialect",
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  "config_name": "lev",
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  "version": {
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  "version_str": "0.0.0",
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- "description": null,
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  "major": 0,
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  "minor": 0,
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  "patch": 0
@@ -117,33 +104,14 @@
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  "splits": {
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  "train": {
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  "name": "train",
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- "num_bytes": 263130,
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  "num_examples": 350,
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- "dataset_name": "arabic_pos_dialect"
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- }
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- },
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- "download_checksums": {
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- "https://github.com/qcri/dialectal_arabic_resources/raw/master/seg_plus_pos_egy.txt": {
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- "num_bytes": 290070,
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- "checksum": "13977060df1266eb5084c724b0109ec946a12304d24bf18810bc2e662146dfd5"
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- },
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- "https://github.com/qcri/dialectal_arabic_resources/raw/master/seg_plus_pos_lev.txt": {
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- "num_bytes": 265356,
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- "checksum": "dd6741ab80a605b290dd0c82c7b20670b4ecc8ae982d9762660266c7fd4c0036"
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- },
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- "https://github.com/qcri/dialectal_arabic_resources/raw/master/seg_plus_pos_glf.txt": {
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- "num_bytes": 241428,
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- "checksum": "a719b071806ae9398182817aef87abd240393fbc2f98b24361a94f219c3daa31"
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- },
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- "https://github.com/qcri/dialectal_arabic_resources/raw/master/seg_plus_pos_mgr.txt": {
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- "num_bytes": 246801,
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- "checksum": "86ca158dc5981a84d25078a2063e8e081ecca7d5437f49b63b4ebd531042476a"
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  }
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  },
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- "download_size": 1043655,
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- "post_processing_size": null,
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- "dataset_size": 263130,
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- "size_in_bytes": 1306785
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  },
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  "glf": {
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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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  "features": {
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  "fold": {
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  "dtype": "int32",
 
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  "_type": "Value"
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  },
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  "subfold": {
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  "dtype": "string",
 
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  "_type": "Value"
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  },
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  "words": {
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  "feature": {
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  "dtype": "string",
 
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  "_type": "Value"
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  },
 
 
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  "_type": "Sequence"
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  },
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  "segments": {
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  "feature": {
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  "dtype": "string",
 
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  "_type": "Value"
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  },
 
 
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  "_type": "Sequence"
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  },
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  "pos_tags": {
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  "feature": {
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  "dtype": "string",
 
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  "_type": "Value"
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  },
 
 
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  "_type": "Sequence"
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  }
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  },
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+ "builder_name": "parquet",
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+ "dataset_name": "arabic_pos_dialect",
 
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  "config_name": "lev",
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  "version": {
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  "version_str": "0.0.0",
 
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  "major": 0,
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  "minor": 0,
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  "patch": 0
 
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  "splits": {
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  "train": {
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  "name": "train",
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+ "num_bytes": 263102,
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  "num_examples": 350,
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+ "dataset_name": null
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  }
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  },
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+ "download_size": 97055,
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+ "dataset_size": 263102,
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+ "size_in_bytes": 360157
 
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  },
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  "glf": {
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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",
lev/train-00000-of-00001.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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