Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
named-entity-recognition
Languages:
Tagalog
Size:
1K - 10K
ArXiv:
DOI:
License:
Commit
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5cee948
1
Parent(s):
790e34d
Add description in the dataset
Browse files- tlunified-ner.py +7 -2
tlunified-ner.py
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import os
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from typing import List
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import datasets
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logger = datasets.logging.get_logger(__name__)
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_DESCRIPTION = """
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_LICENSE = """GNU GPL v3.0"""
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_URL = "https://huggingface.co/ljvmiranda921/tlunified-ner"
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_CLASSES = ["O", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]
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from typing import List
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import datasets
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logger = datasets.logging.get_logger(__name__)
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_DESCRIPTION = """
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This dataset contains the annotated TLUnified corpora from Cruz and Cheng
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(2021). It consists of a curated sample of around 7,000 documents for the
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named entity recognition (NER) task. The majority of the corpus are news
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reports in Tagalog, resembling the domain of the original ConLL 2003. There
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are three entity types: Person (PER), Organization (ORG), and Location (LOC).
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"""
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_LICENSE = """GNU GPL v3.0"""
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_URL = "https://huggingface.co/ljvmiranda921/tlunified-ner"
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_CLASSES = ["O", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]
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