Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
json
Languages:
Naga Pidgin
Size:
< 1K
License:
metadata
language:
- nag
license: mit
task_categories:
- token-classification
tags:
- nagamese
- naga
- low-resource
- ner
- pos
pretty_name: NagaNLP NER Annotated Corpus
size_categories:
- n<1K
configs:
- config_name: default
data_files:
- split: train
path: train.jsonl
NagaNLP NER Annotated Corpus
This dataset contains 214 sentences annotated for Named Entity Recognition (NER) and Part-of-Speech (POS) tagging in Nagamese (Naga Pidgin).
It is part of the NagaNLP project for low-resource language documentation.
Format
The dataset was converted from CoNLL format to JSONL. Each entry contains:
tokens: List of words in the sentence.ner_tags: List of BIO tags (e.g.,B-MISC,O,B-LOC).pos_tags: List of POS tags (e.g.,NOUN,VERB).
Statistics
- Sentences: 214
- Tokens: ~4,800
Example
{
"tokens": ["Etu", "retreating", "monsoon", "normally", "October"],
"ner_tags": ["O", "O", "B-MISC", "O", "B-MISC"],
"pos_tags": ["PRON", "VERB", "NOUN", "ADV", "PROPN"]
}