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