File size: 1,359 Bytes
a020391 afc1e6b a020391 afc1e6b a020391 f6b93ed a020391 bedb010 a020391 94a7af9 a020391 94a7af9 a020391 94a7af9 a020391 94a7af9 a020391 94a7af9 28464a7 94a7af9 a020391 f6b93ed a020391 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 |
---
language_creators:
- crowdsourced
language:
- fr
license:
- unknown
multilinguality:
- None
size_categories:
- 100K<n<1M
source_datasets:
- wikiner
task_categories:
- structure-prediction
task_ids:
- named-entity-recognition
---
# Dataset Card for wikiner in French
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Fields](#data-instances)
- [Data Splits](#data-instances)
## Dataset Description
- **Homepage:** https://metatext.io/datasets/wikiner
- **Repository:**
- **Paper:** https://www.sciencedirect.com/science/article/pii/S0004370212000276?via%3Dihub
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
French sentences tagged with 4 entities:
_PER
_ORG
_LOC
_MISC
### Supported Tasks and Leaderboards
NER
### Languages
French
## Dataset Structure
### Data Fields
Features:
_'id': int
_'ner_tags': list(int)
_'tokens': List(string)
Example:
```
{
'id': 254569,
'tokens': ['Le', 'MEDEF', 'a', 'une', 'organisation', 'sur', 'plusieurs', 'niveaux',':'],
'ner_tags': [0, 4, 0, 0, 0, 0, 0, 0, 0]
}
```
### Data Splits
120682 sentences for training
13410 sentences for testing
|