update dataset card

README.md

@@ -45,15 +45,13 @@ dataset_card_content: "\n---\ndataset_info:\n  features:\n  - name: sample_id\n
   \ of the entity in the text.\n\n### Dataset Tags Count:\n\n- AnatomicalStructure:\
   \ 4685\n- Disease: 4658\n- Medication/Vaccine: 4226\n- MedicalProcedure: 3170\n\
   - Symptom: 1763\n- LOC: 525\n- PER: 521\n- PROD: 305\n- CW: 167\n- ORG: 83\n- GRP:\
-  \ 14\n  \n### Example\n\n```json\n{'id': '723',\n 'sample_id': 'f5ce4a43-24f0-4bd2-8dce-7faa41342795',\n\
-  \ 'tokens': ['atteint',\n  'de',\n  'poliomyélite',\n  'dans',\n  'son',\n  'enfance',\n\
-  \  'il',\n  'devient',\n  'fan',\n  'de',\n  'blues',\n  'en',\n  'écoutant',\n\
-  \  'big',\n  'joe',\n  'turner',\n  '.'],\n 'ner_tags': ['O',\n  'O',\n  'B-Disease',\n\
-  \  'O',\n  'O',\n  'O',\n  'O',\n  'O',\n  'O',\n  'O',\n  'O',\n  'O',\n  'O',\n\
-  \  'B-PER',\n  'I-PER',\n  'I-PER',\n  'O'],\n 'ner_tags_index': [0, 0, 71, 0, 0,\
-  \ 0, 0, 0, 0, 0, 0, 0, 0, 41, 42, 42, 0],\n 'text': 'atteint de poliomyélite dans\
-  \ son enfance il devient fan de blues en écoutant big joe turner .',\n 'ner_tags_span':\
-  \ \"[['Disease', 11, 23], ['PER', 77, 91]]\"}\n```\n\n## Dataset Creation\n\n###\
+  \ 14\n  \n### Example\n\n```json\n{'sample_id': '60a82e36-4d34-4e16-aadc-2078699476f7',\n\
+  \ 'tokens': ['jonas',\n  'salk',\n  'médecin',\n  'm.d.',\n  '1938',\n  'et',\n\
+  \  'inventeur',\n  'du',\n  'vaccin',\n  'contre',\n  'la',\n  'poliomyélite',\n\
+  \  '.'],\n 'ner_tags': ['B-PER',\n  'I-PER',\n  'O',\n  'O',\n  'O',\n  'O',\n \
+  \ 'O',\n  'O',\n  'O',\n  'O',\n  'O',\n  'B-Disease',\n  'O'],\n 'text': 'jonas\
+  \ salk médecin m.d. 1938 et inventeur du vaccin contre la poliomyélite .',\n 'ner_tags_span':\
+  \ \"[['PER', 0, 10], ['Disease', 62, 74]]\"}\n```\n\n## Dataset Creation\n\n###\
   \ Curation Rationale\n\n<!-- Motivation for the creation of this dataset. -->\n\
   This dataset was created for educational purposes only.\n\n### Source Data\n\n<!--\
   \ This section describes the source data (e.g. news text and headlines, social media\
@@ -130,29 +128,22 @@ The dataset is designed to train Named Entity Recognition models for the French
 ### Example
 
 ```json
-{'id': '723',
- 'sample_id': 'f5ce4a43-24f0-4bd2-8dce-7faa41342795',
- 'tokens': ['atteint',
-  'de',
+{'sample_id': '60a82e36-4d34-4e16-aadc-2078699476f7',
+ 'tokens': ['jonas',
+  'salk',
+  'médecin',
+  'm.d.',
+  '1938',
+  'et',
+  'inventeur',
+  'du',
+  'vaccin',
+  'contre',
+  'la',
   'poliomyélite',
-  'dans',
-  'son',
-  'enfance',
-  'il',
-  'devient',
-  'fan',
-  'de',
-  'blues',
-  'en',
-  'écoutant',
-  'big',
-  'joe',
-  'turner',
   '.'],
- 'ner_tags': ['O',
-  'O',
-  'B-Disease',
-  'O',
+ 'ner_tags': ['B-PER',
+  'I-PER',
   'O',
   'O',
   'O',
@@ -162,13 +153,10 @@ The dataset is designed to train Named Entity Recognition models for the French
   'O',
   'O',
   'O',
-  'B-PER',
-  'I-PER',
-  'I-PER',
+  'B-Disease',
   'O'],
- 'ner_tags_index': [0, 0, 71, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 41, 42, 42, 0],
- 'text': 'atteint de poliomyélite dans son enfance il devient fan de blues en écoutant big joe turner .',
- 'ner_tags_span': "[['Disease', 11, 23], ['PER', 77, 91]]"}
+ 'text': 'jonas salk médecin m.d. 1938 et inventeur du vaccin contre la poliomyélite .',
+ 'ner_tags_span': "[['PER', 0, 10], ['Disease', 62, 74]]"}
 ```
 
 ## Dataset Creation