ROOTS Subset: roots_ca_enriched_conllu_ancora_for_ml_training

# Enriched CONLLU Ancora for ML training

- Dataset uid: `enriched_conllu_ancora_for_ml_training`

### Description

This is an enriched version for Machine Learning purposes of the CONLLU adaptation of AnCora corpus .

This version of the corpus was developed by BSC TeMU as part of the AINA project, and has been used to do multi-task learning for the Catalan language Spacy 3.0 models.

### Homepage

https://zenodo.org/record/5036651

### Licensing

- cc-by-4.0: Creative Commons Attribution 4.0 International


### Speaker Locations

- Spain


### Sizes

- 0.0000 % of total
- 0.0000 % of ca

### BigScience processing steps

#### Filters applied to: ca

- dedup_document
- dedup_template_soft
- filter_remove_empty_docs
- filter_small_docs_bytes_1024


language:ca license:cc-by-4.0 region:us
{"language": "ca", "license": "cc-by-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}
TAGS
#language-Catalan #license-cc-by-4.0 #region-us 

ROOTS Subset: roots_ca_enriched_conllu_ancora_for_ml_training

# Enriched CONLLU Ancora for ML training

- Dataset uid: 'enriched_conllu_ancora_for_ml_training'

### Description

This is an enriched version for Machine Learning purposes of the CONLLU adaptation of AnCora corpus .

This version of the corpus was developed by BSC TeMU as part of the AINA project, and has been used to do multi-task learning for the Catalan language Spacy 3.0 models.

### Homepage

URL

### Licensing

- cc-by-4.0: Creative Commons Attribution 4.0 International


### Speaker Locations

- Spain


### Sizes

- 0.0000 % of total
- 0.0000 % of ca

### BigScience processing steps

#### Filters applied to: ca

- dedup_document
- dedup_template_soft
- filter_remove_empty_docs
- filter_small_docs_bytes_1024


# Enriched CONLLU Ancora for ML training

- Dataset uid: 'enriched_conllu_ancora_for_ml_training' ### Description

This is an enriched version for Machine Learning purposes of the CONLLU adaptation of AnCora corpus .

This version of the corpus was developed by BSC TeMU as part of the AINA project, and has been used to do multi-task learning for the Catalan language Spacy 3.0 models. ### Homepage

URL ### Licensing

- cc-by-4.0: Creative Commons Attribution 4.0 International ### Speaker Locations

- Spain ### Sizes

- 0.0000 % of total
- 0.0000 % of ca ### BigScience processing steps #### Filters applied to: ca

- dedup_document
- dedup_template_soft
- filter_remove_empty_docs
- filter_small_docs_bytes_1024
TAGS
#language-Catalan #license-cc-by-4.0 #region-us 
 # Enriched CONLLU Ancora for ML training

- Dataset uid: 'enriched_conllu_ancora_for_ml_training' ### Description

This is an enriched version for Machine Learning purposes of the CONLLU adaptation of AnCora corpus .

This version of the corpus was developed by BSC TeMU as part of the AINA project, and has been used to do multi-task learning for the Catalan language Spacy 3.0 models. ### Homepage

URL ### Licensing

- cc-by-4.0: Creative Commons Attribution 4.0 International ### Speaker Locations

- Spain ### Sizes

- 0.0000 % of total
- 0.0000 % of ca ### BigScience processing steps #### Filters applied to: ca

- dedup_document
- dedup_template_soft
- filter_remove_empty_docs
- filter_small_docs_bytes_1024
passage: TAGS
#language-Catalan #license-cc-by-4.0 #region-us 
# Enriched CONLLU Ancora for ML training

- Dataset uid: 'enriched_conllu_ancora_for_ml_training'### Description

This is an enriched version for Machine Learning purposes of the CONLLU adaptation of AnCora corpus .

This version of the corpus was developed by BSC TeMU as part of the AINA project, and has been used to do multi-task learning for the Catalan language Spacy 3.0 models.### Homepage

URL### Licensing

- cc-by-4.0: Creative Commons Attribution 4.0 International### Speaker Locations

- Spain### Sizes

- 0.0000 % of total
- 0.0000 % of ca### BigScience processing steps#### Filters applied to: ca

- dedup_document
- dedup_template_soft
- filter_remove_empty_docs
- filter_small_docs_bytes_1024