Update README.md

README.md

@@ -28,15 +28,53 @@ configs:
 
 This dataset is a manually revised version of 20% of the French proportion of [WikiNER](https://doi.org/10.1016/j.artint.2012.03.006). 
 The original dataset is currently available [here](https://figshare.com/articles/dataset/Learning_multilingual_named_entity_recognition_from_Wikipedia/5462500), based on which WikiNER-fr-gold is created.
-
-The dataset is formatted in CoNLL style with three columns: text, POS and NER. 
 The entities are annotated using the BIOES scheme.
 The POS tags are not revised i.e. remain the same as the original dataset.
 
 For more information on the revision details, please refer to our paper [WikiNER-fr-gold: A Gold-Standard NER Corpus](https://arxiv.org/abs/2411.00030).
 
-## Citation
+The dataset is available in two formats. 
+The CoNLL version contains three columns: text, POS and NER. 
+The JSON version is downloadable using the `datasets` library.
+Originally conceived as a test set, there is no recommended train/dev/test split.
+The downloaded dataset is by default labeled `train`.
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset('danrun/WikiNER-fr-gold')
+
+ds['train'][0]
+# {'ner_tags': [...], 'tokens': [...], 'pos_tags': [...]}
+```
+
+The NER tags are indexed using the following table (see `labels.json`):
 
+```
+{
+ 'O': 0,
+ 'B-PER': 1,
+ 'I-PER': 2,
+ 'E-PER': 3,
+ 'S-PER': 4,
+ 'B-LOC': 5,
+ 'I-LOC': 6,
+ 'E-LOC': 7,
+ 'S-LOC': 8,
+ 'B-ORG': 9,
+ 'I-ORG': 10,
+ 'E-ORG': 11,
+ 'S-ORG': 12,
+ 'B-MISC': 13,
+ 'I-MISC': 14,
+ 'E-MISC': 15,
+ 'S-MISC': 16
+}
+```
+
+
+
+## Citation
 
 ```
 @misc{cao2024wikinerfrgoldgoldstandardnercorpus,