Update README.md

README.md

@@ -51,12 +51,32 @@ for sample in ds["train"]:
 ds = load_dataset('imvladikon/nemo_corpus', "nested")
 ```
 
-Getting classes and encoding/decoding could be done through 
+Getting classes and encoding/decoding could be done through these functions:
 ```
 idx2label = dataset["train"].features["ner_tags"].feature.int2str
 label2idx = dataset["train"].features["ner_tags"].feature.str2int
 ```
+or just use raw_tags field.
 
+## Fields 
+
+available fields (flat): 
+* "id"
+* "sentence"
+* "tokens"
+* "raw_tags"
+* "ner_tags"
+* "spans"
+
+Example of the one record for `flat`:
+```json
+{'id': '0', 'tokens': ['"', 'תהיה', 'נקמה', 'ו', 'בגדול', '.'], 'sentence': '" תהיה נקמה ו בגדול .', 'raw_tags': ['O', 'O', 'O', 'O', 'O', 'O'], 'ner_tags': [24, 24, 24, 24, 24, 24], 'spans': {'span': [], 'start': [], 'end': [], 'entity': [], 'start_char': [], 'end_char': []}}
+```
+
+Example of the one record for `nested`:
+```json
+{'id': '0', 'tokens': ['"', 'תהיה', 'נקמה', 'ו', 'בגדול', '.'], 'ner_tags': [24, 24, 24, 24, 24, 24], 'ner_tags_2': [24, 24, 24, 24, 24, 24], 'ner_tags_3': [24, 24, 24, 24, 24, 24], 'ner_tags_4': [24, 24, 24, 24, 24, 24]}
+```
 
 ## Dataset Description 
 it's README.md of the [original repository](https://github.com/OnlpLab/NEMO-Corpus)