Update README.md

README.md

@@ -1,6 +1,8 @@
 ---
 annotations_creators:
-- expert-generated
+- train: programmatically-generated
+- val: programmatically-generated
+- test: programmatically-generated, expert-validated
 language_creators:
 - found
 languages:
@@ -10,17 +12,14 @@ licenses:
 multilinguality:
 - monolingual
 size_categories:
-- 10K<n<100K
-source_datasets:
-- extended|conll2003
+- 10K<n<100K **FIX**
 task_categories:
 - structure-prediction
 task_ids:
 - named-entity-recognition
-paperswithcode_id: conll
 ---
 
-# Dataset Card for "conllpp"
+# Dataset Card for "EpiSet4NER by [NIH NCATS GARD](https://rarediseases.info.nih.gov/)"
 
 ## Table of Contents
 - [Dataset Description](#dataset-description)
@@ -50,54 +49,18 @@ paperswithcode_id: conll
 
 - **Homepage:** [Github](https://github.com/ZihanWangKi/CrossWeigh)
 - **Repository:** [Github](https://github.com/ZihanWangKi/CrossWeigh)
-- **Paper:** [Aclweb](https://www.aclweb.org/anthology/D19-1519)
-- **Leaderboard:**
-- **Point of Contact:**
+- **Paper:** Pending
 
 ### Dataset Summary
 
-CoNLLpp is a corrected version of the CoNLL2003 NER dataset where labels of 5.38% of the sentences in the test set
-have been manually corrected. The training set and development set from CoNLL2003 is included for completeness. One 
-correction on the test set for example, is:
-
-```
-{
-    "tokens": ["SOCCER", "-", "JAPAN", "GET", "LUCKY", "WIN", ",", "CHINA", "IN", "SURPRISE", "DEFEAT", "."],
-    "original_ner_tags_in_conll2003": ["O", "O", "B-LOC", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O"],
-    "corrected_ner_tags_in_conllpp": ["O", "O", "B-LOC", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O"],
-}
-```
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed]
-
-### Languages
-
-[More Information Needed]
-
-## Dataset Structure
-
-We show detailed information for up to 5 configurations of the dataset.
-
-### Data Instances
-
-#### conllpp
-
-- **Size of downloaded dataset files:** 4.63 MB
-- **Size of the generated dataset:** 9.78 MB
-- **Total amount of disk used:** 14.41 MB
+EpiSet4NER is a dataset
 
 An example of 'train' looks as follows.
 ```
-This example was too long and was cropped:
-
 {
-    "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", "."]
+    "id": "333",
+    "tokens": ['Conclusions', 'The', 'birth', 'prevalence', 'of', 'CLD', 'in', 'the', 'northern', 'Netherlands', 'was', '21.1/10,000', 'births', '.'],
+    "ner_tags":  [0, 0, 0, 3, 0, 0, 0, 0, 0, 1, 0, 5, 6, 0],
 }
 ```
 
@@ -108,15 +71,13 @@ The data fields are the same among all splits.
 #### conllpp
 - `id`: a `string` feature.
 - `tokens`: a `list` of `string` features.
-- `pos_tags`: a `list` of classification labels, with possible values including `"` (0), `''` (1), `#` (2), `$` (3), `(` (4).
-- `chunk_tags`: a `list` of classification labels, with possible values including `O` (0), `B-ADJP` (1), `I-ADJP` (2), `B-ADVP` (3), `I-ADVP` (4).
 - `ner_tags`: a `list` of classification labels, with possible values including `O` (0), `B-PER` (1), `I-PER` (2), `B-ORG` (3), `I-ORG` (4).
 
 ### Data Splits
 
 |  name   |train|validation|test|
 |---------|----:|---------:|---:|
-|conll2003|14041|      3250|3453|
+|EpiSet   |14041|      3250|3453|
 
 ## Dataset Creation
 
@@ -130,15 +91,11 @@ The data fields are the same among all splits.
 
 [More Information Needed]
 
-#### Who are the source language producers?
-
-[More Information Needed]
-
 ### Annotations
 
 #### Annotation process
 
-[More Information Needed]
+See here and then here
 
 #### Who are the annotators?
 
@@ -177,5 +134,4 @@ The data fields are the same among all splits.
 [More Information Needed]
 
 ### Contributions
-
-Thanks to [@ZihanWangKi](https://github.com/ZihanWangKi) for adding this dataset.
+Thanks to [@William Kariampuzha](https://github.com/wzkariampuzha) at NCATS/Axle Informatics for adding this dataset.