CrossNER: Evaluating Cross-Domain Named Entity Recognition
Paper
• 2012.04373 • Published
tokens listlengths 10 76 | ner_tags listlengths 10 76 |
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An NER dataset for cross-domain evaluation, read more.
This split contains labeled data from the LITERATURE domain.
The dataset uses the following 25 labels:
| Index | Label |
|---|---|
| 0 | O |
| 1 | B-book |
| 2 | I-book |
| 3 | B-writer |
| 4 | I-writer |
| 5 | B-award |
| 6 | I-award |
| 7 | B-poem |
| 8 | I-poem |
| 9 | B-event |
| 10 | I-event |
| 11 | B-magazine |
| 12 | I-magazine |
| 13 | B-literarygenre |
| 14 | I-literarygenre |
| 15 | B-country |
| 16 | I-country |
| 17 | B-person |
| 18 | I-person |
| 19 | B-location |
| 20 | I-location |
| 21 | B-organisation |
| 22 | I-organisation |
| 23 | B-misc |
| 24 | I-misc |
from datasets import load_dataset
dataset = load_dataset("eesuhn/crossner-literature")