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License:
albertvillanova HF staff commited on
Commit
ea3db35
1 Parent(s): 700647c

Convert dataset to Parquet (#4)

Browse files

- Convert dataset to Parquet (cd8cb2dbdbd724c954e04b03748586b54b571581)
- Add arabic data files (eea6a4a1606f4777bd972e6c466ca455e3ba2a26)
- Add chinese data files (c32dce6ec09356c3f54ae2ddf6ccde4a7ecde030)
- Add czech data files (0f6940724607ecee3958925f1cb23c027d1c0aae)
- Add dutch data files (0b65f1ed2d747a576240cb4092c626161c86ea63)
- Add french data files (ddc5b3a971a3ec0d84c6a75458e8d0dcac969fa6)
- Add german data files (2355ac8e32b8c1cbbbdad7a1bc9ad44ec6831932)
- Add hindi data files (9bc9978fefa0624927b2731d1cf9deb337f92228)
- Add indonesian data files (388dd02f242de0e6c63c01abcfa2b85e95b16408)
- Add italian data files (919e7d2a04c444b777d4bf12eb8f5e583019434c)
- Add japanese data files (f150845b9734ef38544a16c030d4a677abac4649)
- Add korean data files (c550a744298751c737743bcf7e8f55f0294f33ee)
- Add portuguese data files (d7d9808c24279d09b1dd16c345dd74f9e2592d52)
- Add russian data files (a77ee278d57072bc52ee7339531cc531c43991f3)
- Add spanish data files (2dba8f024cfd5c6e0176d39eed47ecdf33094395)
- Add thai data files (40dce069d2ba9d3ad1f8c059791087dccf8ac772)
- Add turkish data files (2aa4f7d186a54ef12238c9cc6a8e2d2d3efac573)
- Add vietnamese data files (851acfd6d91040e57b0bdce37de57764b6cc324d)
- Delete loading script (07b31084349cd5ea4e47709288764131db7d6b14)
- Delete data folder (f214d709f9d1ae47e3051fa71c0c0c14e62b01a6)

README.md CHANGED
@@ -36,6 +36,25 @@ task_categories:
36
  task_ids: []
37
  paperswithcode_id: wikilingua
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  pretty_name: WikiLingua
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
39
  dataset_info:
40
  - config_name: arabic
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  features:
@@ -55,10 +74,10 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 119116119
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  num_examples: 9995
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- download_size: 119358890
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- dataset_size: 119116119
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  - config_name: chinese
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  features:
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  - name: url
@@ -77,10 +96,10 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 41170689
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  num_examples: 6541
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- download_size: 41345464
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- dataset_size: 41170689
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  - config_name: czech
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  features:
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  - name: url
@@ -99,10 +118,10 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 20816390
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  num_examples: 2520
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- download_size: 20894511
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- dataset_size: 20816390
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  - config_name: dutch
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  features:
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  - name: url
@@ -121,10 +140,10 @@ dataset_info:
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  splits:
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  - name: train
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- num_bytes: 87258040
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  num_examples: 10862
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- download_size: 87533442
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- dataset_size: 87258040
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  - config_name: english
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  features:
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  - name: url
@@ -139,10 +158,10 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 333700114
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  num_examples: 57945
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- download_size: 338036185
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- dataset_size: 333700114
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  - config_name: french
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  features:
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  - name: url
@@ -161,10 +180,10 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 197550376
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  num_examples: 21690
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- download_size: 198114157
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- dataset_size: 197550376
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  - config_name: german
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  features:
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  - name: url
@@ -183,10 +202,10 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 168674340
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  num_examples: 20103
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- download_size: 169195050
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- dataset_size: 168674340
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  - config_name: hindi
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  features:
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  - name: url
@@ -205,10 +224,10 @@ dataset_info:
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  splits:
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  - name: train
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- num_bytes: 63785051
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  num_examples: 3402
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- download_size: 63874759
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  - config_name: indonesian
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  features:
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  - name: url
@@ -227,10 +246,10 @@ dataset_info:
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  splits:
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  - name: train
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- num_bytes: 136408861
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  num_examples: 16308
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- download_size: 136833587
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- dataset_size: 136408861
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  - config_name: italian
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  features:
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  - name: url
@@ -249,10 +268,10 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 138119527
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  num_examples: 17673
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- download_size: 138578956
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- dataset_size: 138119527
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  - config_name: japanese
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  features:
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  - name: url
@@ -271,10 +290,10 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 40145031
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  num_examples: 4372
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- download_size: 40259570
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- dataset_size: 40145031
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  - config_name: korean
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  features:
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  - name: url
@@ -293,10 +312,10 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 38647614
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  num_examples: 4111
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- download_size: 38748961
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- dataset_size: 38647614
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  - config_name: portuguese
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  features:
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  - name: url
@@ -315,10 +334,10 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 204270845
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  num_examples: 28143
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- download_size: 204997686
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- dataset_size: 204270845
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  - config_name: russian
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  features:
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  - name: url
@@ -337,10 +356,10 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 241924032
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  num_examples: 18143
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- download_size: 242377242
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- dataset_size: 241924032
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  - config_name: spanish
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  features:
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  - name: url
@@ -359,10 +378,10 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 314618618
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  num_examples: 38795
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- download_size: 315609530
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- dataset_size: 314618618
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  - config_name: thai
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  features:
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  - name: url
@@ -381,10 +400,10 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 86982851
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  num_examples: 5093
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- download_size: 87104200
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- dataset_size: 86982851
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  - config_name: turkish
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  features:
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  - name: url
@@ -403,10 +422,10 @@ dataset_info:
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  splits:
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  - name: train
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- num_bytes: 11371821
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  num_examples: 1512
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- download_size: 11405793
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  - config_name: vietnamese
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  features:
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  - name: url
@@ -425,29 +444,84 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 69868788
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  num_examples: 6616
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- download_size: 70024093
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- config_names:
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- - arabic
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- - chinese
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- - czech
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- - dutch
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- - english
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- - french
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- - german
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- - hindi
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- - indonesian
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- - italian
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- - japanese
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- - korean
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- - portuguese
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- - russian
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- - spanish
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- - thai
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- - turkish
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- - vietnamese
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
451
  ---
452
  # Dataset Card for "wiki_lingua"
453
 
 
36
  task_ids: []
37
  paperswithcode_id: wikilingua
38
  pretty_name: WikiLingua
39
+ config_names:
40
+ - arabic
41
+ - chinese
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+ - czech
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+ - dutch
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+ - english
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+ - french
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+ - german
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+ - hindi
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+ - indonesian
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+ - italian
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+ - japanese
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+ - korean
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+ - portuguese
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+ - russian
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+ - spanish
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+ - thai
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+ - turkish
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+ - vietnamese
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  dataset_info:
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  - config_name: arabic
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  features:
 
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  dtype: string
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  splits:
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  - name: train
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+ num_bytes: 119116075
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  num_examples: 9995
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+ download_size: 55808460
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+ dataset_size: 119116075
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  - config_name: chinese
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  features:
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  - name: url
 
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  dtype: string
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  splits:
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  - name: train
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+ num_bytes: 41170645
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  num_examples: 6541
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+ download_size: 25187026
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  - config_name: czech
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  features:
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  - name: url
 
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  dtype: string
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  - name: train
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+ num_bytes: 20816346
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  num_examples: 2520
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  - config_name: dutch
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  features:
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  - name: url
 
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  dtype: string
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  - config_name: english
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  features:
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  - name: url
 
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  - name: train
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+ num_bytes: 333699946
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  - config_name: french
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  - name: url
 
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  - config_name: german
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  features:
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  - name: url
 
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  dtype: string
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  - name: train
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+ num_bytes: 168674208
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  - config_name: hindi
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  features:
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  - name: url
 
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  dtype: string
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  - name: train
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+ num_bytes: 63785007
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  num_examples: 3402
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+ download_size: 22774620
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  - config_name: indonesian
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  features:
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  - name: url
 
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  - config_name: italian
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  features:
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  - name: url
 
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  num_examples: 17673
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  - config_name: japanese
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  features:
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  - name: url
 
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  dtype: string
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  - config_name: korean
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  features:
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  - name: url
 
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  dtype: string
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  - name: url
 
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  - name: url
 
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  - name: url
 
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  - name: url
 
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  - name: url
 
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  - config_name: vietnamese
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  - name: url
 
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  - name: train
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+ num_bytes: 69868744
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  num_examples: 6616
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+ download_size: 33194150
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+ dataset_size: 69868744
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+ configs:
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+ path: arabic/train-*
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+ - split: train
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+ path: chinese/train-*
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+ data_files:
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+ - split: train
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+ path: czech/train-*
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+ data_files:
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+ - split: train
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+ path: dutch/train-*
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+ data_files:
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+ - split: train
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+ path: english/train-*
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+ default: true
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+ data_files:
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+ - split: train
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+ path: french/train-*
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+ - config_name: german
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+ data_files:
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+ - split: train
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+ path: german/train-*
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+ - config_name: hindi
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+ data_files:
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+ - split: train
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+ path: hindi/train-*
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+ - config_name: indonesian
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+ data_files:
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+ - split: train
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+ path: indonesian/train-*
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+ - config_name: italian
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+ data_files:
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+ - split: train
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+ path: italian/train-*
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+ - config_name: japanese
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+ data_files:
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+ - split: train
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+ path: japanese/train-*
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+ - config_name: korean
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+ data_files:
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+ - split: train
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+ path: korean/train-*
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+ - config_name: portuguese
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+ data_files:
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+ - split: train
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+ path: portuguese/train-*
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+ - config_name: russian
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+ data_files:
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+ - split: train
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+ path: russian/train-*
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+ - config_name: spanish
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+ data_files:
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+ - split: train
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+ path: spanish/train-*
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+ - config_name: thai
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+ data_files:
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+ - split: train
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+ path: thai/train-*
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+ - config_name: turkish
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+ data_files:
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+ - split: train
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+ path: turkish/train-*
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+ - config_name: vietnamese
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+ data_files:
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+ - split: train
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+ path: vietnamese/train-*
525
  ---
526
  # Dataset Card for "wiki_lingua"
527
 
data/arabic.jsonl.gz → arabic/train-00000-of-00001.parquet RENAMED
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wiki_lingua.py DELETED
@@ -1,168 +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
- """WikiLingua."""
16
-
17
-
18
- import json
19
-
20
- import datasets
21
-
22
-
23
- # Find for instance the citation on arxiv or on the dataset repo/website
24
- _CITATION = """\
25
- @inproceedings{ladhak-etal-2020-wikilingua,
26
- title = "{W}iki{L}ingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization",
27
- author = "Ladhak, Faisal and
28
- Durmus, Esin and
29
- Cardie, Claire and
30
- McKeown, Kathleen",
31
- booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
32
- month = nov,
33
- year = "2020",
34
- address = "Online",
35
- publisher = "Association for Computational Linguistics",
36
- url = "https://aclanthology.org/2020.findings-emnlp.360",
37
- doi = "10.18653/v1/2020.findings-emnlp.360",
38
- pages = "4034--4048",
39
- }
40
- """
41
-
42
- _DESCRIPTION = """\
43
- WikiLingua is a large-scale multilingual dataset for the evaluation of
44
- cross-lingual abstractive summarization systems. The dataset includes ~770k
45
- article and summary pairs in 18 languages from WikiHow. The gold-standard
46
- article-summary alignments across languages was done by aligning the images
47
- that are used to describe each how-to step in an article.
48
- """
49
-
50
- _HOMEPAGE = "https://github.com/esdurmus/Wikilingua"
51
-
52
- _LICENSE = "CC BY-NC-SA 3.0"
53
-
54
- # Download link
55
- _URL = "data/{language}.jsonl.gz"
56
- _LANGUAGES = [
57
- "arabic",
58
- "chinese",
59
- "czech",
60
- "dutch",
61
- "english",
62
- "french",
63
- "german",
64
- "hindi",
65
- "indonesian",
66
- "italian",
67
- "japanese",
68
- "korean",
69
- "portuguese",
70
- "russian",
71
- "spanish",
72
- "thai",
73
- "turkish",
74
- "vietnamese",
75
- ]
76
-
77
-
78
- class WikiLingua(datasets.GeneratorBasedBuilder):
79
- """WikiLingua dataset."""
80
-
81
- VERSION = datasets.Version("1.1.1")
82
-
83
- BUILDER_CONFIGS = [
84
- datasets.BuilderConfig(
85
- name=lang,
86
- version=datasets.Version("1.1.1"),
87
- description=f"A subset of article-summary in {lang.capitalize()}",
88
- )
89
- for lang in _LANGUAGES
90
- ]
91
-
92
- DEFAULT_CONFIG_NAME = "english"
93
-
94
- def _info(self):
95
- if self.config.name == "english":
96
- features = datasets.Features(
97
- {
98
- "url": datasets.Value("string"),
99
- "article": datasets.Sequence(
100
- {
101
- "section_name": datasets.Value("string"),
102
- "document": datasets.Value("string"),
103
- "summary": datasets.Value("string"),
104
- }
105
- ),
106
- }
107
- )
108
- else:
109
- features = datasets.Features(
110
- {
111
- "url": datasets.Value("string"),
112
- "article": datasets.Sequence(
113
- {
114
- "section_name": datasets.Value("string"),
115
- "document": datasets.Value("string"),
116
- "summary": datasets.Value("string"),
117
- "english_url": datasets.Value("string"),
118
- "english_section_name": datasets.Value("string"),
119
- }
120
- ),
121
- }
122
- )
123
-
124
- return datasets.DatasetInfo(
125
- # This is the description that will appear on the datasets page.
126
- description=_DESCRIPTION,
127
- # This defines the different columns of the dataset and their types
128
- features=features, # Here we define them above because they are different between the two configurations
129
- # Homepage of the dataset for documentation
130
- homepage=_HOMEPAGE,
131
- # License for the dataset if available
132
- license=_LICENSE,
133
- # Citation for the dataset
134
- citation=_CITATION,
135
- )
136
-
137
- def _split_generators(self, dl_manager):
138
- """Returns SplitGenerators."""
139
- filepath = dl_manager.download_and_extract(_URL.format(language=self.config.name))
140
- return [
141
- datasets.SplitGenerator(
142
- name=datasets.Split.TRAIN,
143
- # These kwargs will be passed to _generate_examples
144
- gen_kwargs={
145
- "filepath": filepath,
146
- },
147
- ),
148
- ]
149
-
150
- def _process_article(self, article):
151
- """Parse the article and convert into list of dict"""
152
- processed_article = []
153
- for key, value in article.items():
154
- row = {"section_name": key, "document": value["document"], "summary": value["summary"]}
155
-
156
- if self.config.name != "english":
157
- row["english_url"] = value["english_url"]
158
- row["english_section_name"] = value["english_section_name"]
159
- processed_article.append(row)
160
-
161
- return processed_article
162
-
163
- def _generate_examples(self, filepath):
164
- """Yields examples."""
165
- with open(filepath, "rb") as f:
166
- for id_, line in enumerate(f):
167
- row = json.loads(line)
168
- yield id_, {"url": row["url"], "article": self._process_article(row["article"])}