Datasets:
File size: 600 Bytes
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license: cc-by-4.0
task_categories:
- token-classification
tags:
- ner
- gliner2
- data-use
configs:
- config_name: default
data_files:
- split: train
path: train.jsonl
- split: validation
path: validation.jsonl
- split: holdout
path: holdout.jsonl
---
# datause-dataset (re-chunked)
Re-chunk of `ai4data/datause-dataset` into <=384-token windows (max_tokens=384, overlap=50) so GLiNER's window is never truncated during evaluation.
`{"train": {"orig": 1779, "rechunked": 1822}, "validation": {"orig": 415, "rechunked": 458}, "holdout": {"orig": 1149, "rechunked": 1166}}`
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