Datasets:
annotations_creators:
- no-annotation
language_creators:
- found
languages:
- ca
licenses:
- gpl-2.0
- lgpl-2.1
multilinguality:
- monolingual
pretty_name: catalan-dictionary
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories:
- sequence-modeling
task_ids:
- language-modeling
Dataset Card for ca-text-corpus
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage:
- Repository: https://github.com/Softcatala/catalan-dict-tools
- Paper:
- Leaderboard:
- Point of Contact:
Dataset Summary
Catalan word lists with part of speech labeling curated by humans. Contains 1 180 773 forms including verbs, nouns, adjectives, names or toponyms. These word lists are used to build applications like Catalan spellcheckers or verb querying applications.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
Catalan (ca
).
Dataset Structure
The dataset contains 3 columns:
- Form (e.g. cantaré)
- Lemma (e.g. cantar)
- POS tag (VMIF1S00)
You can have the meaning of the POS tag here: https://freeling-user-manual.readthedocs.io/en/latest/tagsets/tagset-ca/#part-of-speech-verb
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]
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
Dataset Curators
[More Information Needed]
Licensing Information
Citation Information
[More Information Needed]