init

README.md

@@ -12,19 +12,9 @@ task_categories:
 task_ids:
 - named-entity-recognition
 pretty_name: CoNLL-2003
-train-eval-index:
-- config: conll2003
-  task: token-classification
-  task_id: entity_extraction
-  splits:
-    train_split: train
-    eval_split: test
-  col_mapping:
-    tokens: tokens
-    ner_tags: tags
 ---
 
-# Dataset Card for "conll2003"
+# Dataset Card for "tner/conll2003"
 
 ## Table of Contents
 - [Dataset Description](#dataset-description)
@@ -98,17 +88,10 @@ An example of 'train' looks as follows.
 
 ```
 {
-    "chunk_tags": [11, 12, 12, 21, 13, 11, 11, 21, 13, 11, 12, 13, 11, 21, 22, 11, 12, 17, 11, 21, 17, 11, 12, 12, 21, 22, 22, 13, 11, 0],
-    "id": "0",
-    "ner_tags": [0, 3, 4, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
-    "pos_tags": [12, 22, 22, 38, 15, 22, 28, 38, 15, 16, 21, 35, 24, 35, 37, 16, 21, 15, 24, 41, 15, 16, 21, 21, 20, 37, 40, 35, 21, 7],
-    "tokens": ["The", "European", "Commission", "said", "on", "Thursday", "it", "disagreed", "with", "German", "advice", "to", "consumers", "to", "shun", "British", "lamb", "until", "scientists", "determine", "whether", "mad", "cow", "disease", "can", "be", "transmitted", "to", "sheep", "."]
+  'tags': ['SOCCER','-', 'JAPAN', 'GET', 'LUCKY', 'WIN', ',', 'CHINA', 'IN', 'SURPRISE', 'DEFEAT', '.'],
+  'tokens': [0, 0, 5, 0, 0, 0, 0, 3, 0, 0, 0, 0]
 }
 ```
-
-The original data files have `-DOCSTART-` lines used to separate documents, but these lines are removed here.
-Indeed `-DOCSTART-` is a special line that acts as a boundary between two different documents, and it is filtered out in this implementation.
-
 ### Data Fields
 
 The data fields are the same among all splits.