Update README.md

README.md

@@ -1,361 +1,9 @@
 ---
-annotations_creators:
-- expert-generated
 language:
 - eu
-language_creators:
-- expert-generated
-license:
-- cc-by-nc-sa-4.0
-multilinguality:
-- monolingual
 pretty_name: BasqueGLUE
 size_categories:
 - 100K<n<1M
-source_datasets:
-- original
-tags: []
-task_categories:
-- text-classification
-- token-classification
-task_ids:
-- intent-classification
-- natural-language-inference
-- sentiment-classification
-- topic-classification
-- named-entity-recognition
-- coreference-resolution
-configs:
-- bec
-- bhtc
-- coref
-- intent
-- nerc_id
-- nerc_od
-- qnli
-- slot
-- vaxx
-- wic
-dataset_info:
-- config_name: bec
-  features:
-  - name: text
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          '0': N
-          '1': NEU
-          '2': P
-  - name: idx
-    dtype: int32
-  splits:
-  - name: train
-    num_bytes: 693284
-    num_examples: 6078
-  - name: test
-    num_bytes: 148510
-    num_examples: 1302
-  - name: validation
-    num_bytes: 148377
-    num_examples: 1302
-  download_size: 1217803
-  dataset_size: 990171
-- config_name: bhtc
-  features:
-  - name: text
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          '0': Ekonomia
-          '1': Euskal Herria
-          '2': Euskara
-          '3': Gizartea
-          '4': Historia
-          '5': Ingurumena
-          '6': Iritzia
-          '7': Komunikazioa
-          '8': Kultura
-          '9': Nazioartea
-          '10': Politika
-          '11': Zientzia
-  - name: idx
-    dtype: int32
-  splits:
-  - name: train
-    num_bytes: 2431494
-    num_examples: 8585
-  - name: test
-    num_bytes: 523066
-    num_examples: 1854
-  - name: validation
-    num_bytes: 519555
-    num_examples: 1857
-  download_size: 3896312
-  dataset_size: 3474115
-- config_name: coref
-  features:
-  - name: text
-    dtype: string
-  - name: span1_text
-    dtype: string
-  - name: span2_text
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          '0': 'false'
-          '1': 'true'
-  - name: span1_index
-    dtype: int32
-  - name: span2_index
-    dtype: int32
-  - name: idx
-    dtype: int32
-  splits:
-  - name: train
-    num_bytes: 365830
-    num_examples: 986
-  - name: test
-    num_bytes: 201378
-    num_examples: 587
-  - name: validation
-    num_bytes: 108632
-    num_examples: 320
-  download_size: 855074
-  dataset_size: 675840
-- config_name: intent
-  features:
-  - name: text
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          '0': alarm/cancel_alarm
-          '1': alarm/modify_alarm
-          '2': alarm/set_alarm
-          '3': alarm/show_alarms
-          '4': alarm/snooze_alarm
-          '5': alarm/time_left_on_alarm
-          '6': reminder/cancel_reminder
-          '7': reminder/set_reminder
-          '8': reminder/show_reminders
-          '9': weather/checkSunrise
-          '10': weather/checkSunset
-          '11': weather/find
-  - name: idx
-    dtype: int32
-  splits:
-  - name: train
-    num_bytes: 182856
-    num_examples: 3418
-  - name: test
-    num_bytes: 56118
-    num_examples: 1087
-  - name: validation
-    num_bytes: 101644
-    num_examples: 1904
-  download_size: 595375
-  dataset_size: 340618
-- config_name: nerc_id
-  features:
-  - name: tokens
-    sequence: string
-  - name: tags
-    sequence:
-      class_label:
-        names:
-          '0': O
-          '1': B-PER
-          '2': I-PER
-          '3': B-LOC
-          '4': I-LOC
-          '5': B-ORG
-          '6': I-ORG
-          '7': B-MISC
-          '8': I-MISC
-  - name: idx
-    dtype: int32
-  splits:
-  - name: train
-    num_bytes: 946007
-    num_examples: 2842
-  - name: test
-    num_bytes: 653960
-    num_examples: 1846
-  - name: validation
-    num_bytes: 237464
-    num_examples: 711
-  download_size: 1723325
-  dataset_size: 1837431
-- config_name: nerc_od
-  features:
-  - name: tokens
-    sequence: string
-  - name: tags
-    sequence:
-      class_label:
-        names:
-          '0': O
-          '1': B-PER
-          '2': I-PER
-          '3': B-LOC
-          '4': I-LOC
-          '5': B-ORG
-          '6': I-ORG
-          '7': B-MISC
-          '8': I-MISC
-  - name: idx
-    dtype: int32
-  splits:
-  - name: train
-    num_bytes: 1183471
-    num_examples: 3553
-  - name: test
-    num_bytes: 262853
-    num_examples: 598
-  - name: validation
-    num_bytes: 270028
-    num_examples: 601
-  download_size: 1613369
-  dataset_size: 1716352
-- config_name: qnli
-  features:
-  - name: question
-    dtype: string
-  - name: sentence
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          '0': entailment
-          '1': not_entailment
-  - name: idx
-    dtype: int32
-  splits:
-  - name: train
-    num_bytes: 327189
-    num_examples: 1764
-  - name: test
-    num_bytes: 42569
-    num_examples: 238
-  - name: validation
-    num_bytes: 46359
-    num_examples: 230
-  download_size: 532399
-  dataset_size: 416117
-- config_name: slot
-  features:
-  - name: tokens
-    sequence: string
-  - name: tags
-    sequence:
-      class_label:
-        names:
-          '0': O
-          '1': B-datetime
-          '2': B-location
-          '3': B-negation
-          '4': B-alarm/alarm_modifier
-          '5': B-alarm/recurring_period
-          '6': B-reminder/noun
-          '7': B-reminder/todo
-          '8': B-reminder/reference
-          '9': B-reminder/recurring_period
-          '10': B-weather/attribute
-          '11': B-weather/noun
-          '12': I-datetime
-          '13': I-location
-          '14': I-negation
-          '15': I-alarm/alarm_modifier
-          '16': I-alarm/recurring_period
-          '17': I-reminder/noun
-          '18': I-reminder/todo
-          '19': I-reminder/reference
-          '20': I-reminder/recurring_period
-          '21': I-weather/attribute
-          '22': I-weather/noun
-  - name: idx
-    dtype: int32
-  splits:
-  - name: train
-    num_bytes: 388774
-    num_examples: 3418
-  - name: test
-    num_bytes: 114876
-    num_examples: 1088
-  - name: validation
-    num_bytes: 214053
-    num_examples: 1900
-  download_size: 962250
-  dataset_size: 717703
-- config_name: vaxx
-  features:
-  - name: text
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          '0': AGAINST
-          '1': NONE
-          '2': FAVOR
-  - name: idx
-    dtype: int32
-  splits:
-  - name: train
-    num_bytes: 176436
-    num_examples: 864
-  - name: test
-    num_bytes: 70947
-    num_examples: 312
-  - name: validation
-    num_bytes: 42795
-    num_examples: 206
-  download_size: 333997
-  dataset_size: 290178
-- config_name: wic
-  features:
-  - name: sentence1
-    dtype: string
-  - name: sentence2
-    dtype: string
-  - name: word
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          '0': 'false'
-          '1': 'true'
-  - name: start1
-    dtype: int32
-  - name: start2
-    dtype: int32
-  - name: end1
-    dtype: int32
-  - name: end2
-    dtype: int32
-  - name: idx
-    dtype: int32
-  splits:
-  - name: train
-    num_bytes: 172847108
-    num_examples: 408559
-  - name: test
-    num_bytes: 589578
-    num_examples: 1400
-  - name: validation
-    num_bytes: 251549
-    num_examples: 600
-  download_size: 22938354
-  dataset_size: 173688235
 ---
 
 # Dataset Card for BasqueGLUE
@@ -713,43 +361,6 @@ An example of 'train' looks as follows:
 
 We believe that BasqueGLUE is a significant contribution towards developing NLU tools in Basque, which we believe will facilitate the technological advance for the Basque language. In order to create BasqueGLUE we took as a reference the GLUE and SuperGLUE frameworks. When possible, we re-used existing datasets for Basque, adapting them to the corresponding task formats if necessary. Additionally, BasqueGLUE also includes six new datasets that have not been published before. In total, BasqueGLUE consists of nine Basque NLU tasks and covers a wide range of tasks with different difficulties across several domains. As with the original GLUE benchmark, the training data for the tasks vary in size, which allows to measure the performance of how the models transfer knowledge across tasks.
 
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed]
-
-#### Who are the source language producers?
-
-[More Information Needed]
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed]
-
-#### Who are the annotators?
-
-[More Information Needed]
-
-### Personal and Sensitive Information
-
-[More Information Needed]
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed]
-
-### Discussion of Biases
-
-[More Information Needed]
-
-### Other Known Limitations
-
-[More Information Needed]
 
 ## Additional Information
 
@@ -807,4 +418,4 @@ International License (CC BY-SA 4.0). To view a copy of this license, visit http
 
 ### Contributions
 
-Thanks to [@richplant](https://github.com/richplant) for adding this dataset to hugginface.
+Thanks to [@richplant](https://github.com/richplant) for adding this dataset to hugginface.