Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
10K - 100K
License:
Update README.md to reflect changes in the data loading script
Browse files
README.md
CHANGED
@@ -21,6 +21,7 @@ task_categories:
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task_ids:
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- named-entity-recognition
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dataset_info:
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features:
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- name: id
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dtype: string
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@@ -91,7 +92,88 @@ dataset_info:
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'58': O-BIOP
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'59': E-BIOP
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'60': S-BIOP
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-
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splits:
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- name: train
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num_bytes: 4394010
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@@ -179,6 +261,7 @@ An example of 'train' looks as follows:
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### Data Fields
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- `id`: the instance id of this sentence, a `string` feature.
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- `tokens`: the list of tokens of this sentence, a `list` of `string` features.
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- `ner_tags`: the list of entity tags, a `list` of classification labels.
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@@ -187,6 +270,24 @@ An example of 'train' looks as follows:
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{"O": 0, "B-MATE": 1, "I-MATE": 2, "O-MATE": 3, "E-MATE": 4, "S-MATE": 5, "B-MANP": 6, "I-MANP": 7, "O-MANP": 8, "E-MANP": 9, "S-MANP": 10, "B-MACEQ": 11, "I-MACEQ": 12, "O-MACEQ": 13, "E-MACEQ": 14, "S-MACEQ": 15, "B-APPL": 16, "I-APPL": 17, "O-APPL": 18, "E-APPL": 19, "S-APPL": 20, "B-FEAT": 21, "I-FEAT": 22, "O-FEAT": 23, "E-FEAT": 24, "S-FEAT": 25, "B-PRO": 26, "I-PRO": 27, "O-PRO": 28, "E-PRO": 29, "S-PRO": 30, "B-CHAR": 31, "I-CHAR": 32, "O-CHAR": 33, "E-CHAR": 34, "S-CHAR": 35, "B-PARA": 36, "I-PARA": 37, "O-PARA": 38, "E-PARA": 39, "S-PARA": 40, "B-ENAT": 41, "I-ENAT": 42, "O-ENAT": 43, "E-ENAT": 44, "S-ENAT": 45, "B-CONPRI": 46, "I-CONPRI": 47, "O-CONPRI": 48, "E-CONPRI": 49, "S-CONPRI": 50, "B-MANS": 51, "I-MANS": 52, "O-MANS": 53, "E-MANS": 54, "S-MANS": 55, "B-BIOP": 56, "I-BIOP": 57, "O-BIOP": 58, "E-BIOP": 59, "S-BIOP": 60}
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```
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### Data Splits
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| | Train | Dev | Test |
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### Contributions
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-
Thanks to [@phucdev](https://github.com/phucdev) for adding this dataset.
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task_ids:
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- named-entity-recognition
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dataset_info:
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- config_name: fabner
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features:
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- name: id
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dtype: string
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'58': O-BIOP
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'59': E-BIOP
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'60': S-BIOP
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splits:
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- name: train
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num_bytes: 4394010
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num_examples: 9435
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- name: validation
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num_bytes: 934347
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num_examples: 2183
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- name: test
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num_bytes: 940136
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num_examples: 2064
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download_size: 3793613
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dataset_size: 6268493
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- config_name: fabner_bio
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features:
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- name: id
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dtype: string
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- name: tokens
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sequence: string
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- name: ner_tags
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sequence:
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class_label:
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names:
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'0': O
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'1': B-MATE
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'2': I-MATE
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'3': B-MANP
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'4': I-MANP
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'5': B-MACEQ
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'6': I-MACEQ
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'7': B-APPL
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'8': I-APPL
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'9': B-FEAT
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'10': I-FEAT
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'11': B-PRO
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'12': I-PRO
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'13': B-CHAR
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'14': I-CHAR
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'15': B-PARA
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'16': I-PARA
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'17': B-ENAT
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'18': I-ENAT
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'19': B-CONPRI
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'20': I-CONPRI
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'21': B-MANS
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'22': I-MANS
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'23': B-BIOP
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'24': I-BIOP
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splits:
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- name: train
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num_bytes: 4394010
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num_examples: 9435
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- name: validation
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num_bytes: 934347
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num_examples: 2183
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- name: test
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num_bytes: 940136
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num_examples: 2064
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download_size: 3793613
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dataset_size: 6268493
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- config_name: fabner_simple
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features:
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- name: id
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dtype: string
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- name: tokens
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sequence: string
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- name: ner_tags
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sequence:
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class_label:
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names:
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'0': O
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'1': MATE
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'2': MANP
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'3': MACEQ
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'4': APPL
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'5': FEAT
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'6': PRO
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'7': CHAR
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'8': PARA
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'9': ENAT
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'10': CONPRI
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'11': MANS
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'12': BIOP
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splits:
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- name: train
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num_bytes: 4394010
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### Data Fields
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#### fabner
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- `id`: the instance id of this sentence, a `string` feature.
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- `tokens`: the list of tokens of this sentence, a `list` of `string` features.
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- `ner_tags`: the list of entity tags, a `list` of classification labels.
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{"O": 0, "B-MATE": 1, "I-MATE": 2, "O-MATE": 3, "E-MATE": 4, "S-MATE": 5, "B-MANP": 6, "I-MANP": 7, "O-MANP": 8, "E-MANP": 9, "S-MANP": 10, "B-MACEQ": 11, "I-MACEQ": 12, "O-MACEQ": 13, "E-MACEQ": 14, "S-MACEQ": 15, "B-APPL": 16, "I-APPL": 17, "O-APPL": 18, "E-APPL": 19, "S-APPL": 20, "B-FEAT": 21, "I-FEAT": 22, "O-FEAT": 23, "E-FEAT": 24, "S-FEAT": 25, "B-PRO": 26, "I-PRO": 27, "O-PRO": 28, "E-PRO": 29, "S-PRO": 30, "B-CHAR": 31, "I-CHAR": 32, "O-CHAR": 33, "E-CHAR": 34, "S-CHAR": 35, "B-PARA": 36, "I-PARA": 37, "O-PARA": 38, "E-PARA": 39, "S-PARA": 40, "B-ENAT": 41, "I-ENAT": 42, "O-ENAT": 43, "E-ENAT": 44, "S-ENAT": 45, "B-CONPRI": 46, "I-CONPRI": 47, "O-CONPRI": 48, "E-CONPRI": 49, "S-CONPRI": 50, "B-MANS": 51, "I-MANS": 52, "O-MANS": 53, "E-MANS": 54, "S-MANS": 55, "B-BIOP": 56, "I-BIOP": 57, "O-BIOP": 58, "E-BIOP": 59, "S-BIOP": 60}
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```
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#### fabner_bio
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- `id`: the instance id of this sentence, a `string` feature.
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- `tokens`: the list of tokens of this sentence, a `list` of `string` features.
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- `ner_tags`: the list of entity tags, a `list` of classification labels.
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```json
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{"O": 0, "B-MATE": 1, "I-MATE": 2, "B-MANP": 3, "I-MANP": 4, "B-MACEQ": 5, "I-MACEQ": 6, "B-APPL": 7, "I-APPL": 8, "B-FEAT": 9, "I-FEAT": 10, "B-PRO": 11, "I-PRO": 12, "B-CHAR": 13, "I-CHAR": 14, "B-PARA": 15, "I-PARA": 16, "B-ENAT": 17, "I-ENAT": 18, "B-CONPRI": 19, "I-CONPRI": 20, "B-MANS": 21, "I-MANS": 22, "B-BIOP": 23, "I-BIOP": 24}
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```
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#### fabner_simple
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- `id`: the instance id of this sentence, a `string` feature.
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- `tokens`: the list of tokens of this sentence, a `list` of `string` features.
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- `ner_tags`: the list of entity tags, a `list` of classification labels.
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```json
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{"O": 0, "MATE": 1, "MANP": 2, "MACEQ": 3, "APPL": 4, "FEAT": 5, "PRO": 6, "CHAR": 7, "PARA": 8, "ENAT": 9, "CONPRI": 10, "MANS": 11, "BIOP": 12}
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```
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### Data Splits
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| | Train | Dev | Test |
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### Contributions
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+
Thanks to [@phucdev](https://github.com/phucdev) for adding this dataset.
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