metadata
dataset_info:
features:
- name: id
dtype: string
- name: tokens
list: string
- name: ner_tags
list:
class_label:
names:
'0': O
'1': B-MYC
'2': B-PRO
'3': B-BOT
'4': B-BAC
'5': B-ZOO
'6': B-MED
'7': B-VIR
'8': B-ENT
'9': I-MYC
'10': I-PRO
'11': I-BOT
'12': I-BAC
'13': I-ZOO
'14': I-MED
'15': I-VIR
'16': I-ENT
splits:
- name: train
num_bytes: 1898400
num_examples: 375
- name: test
num_bytes: 629837
num_examples: 125
- name: valid
num_bytes: 646291
num_examples: 125
download_size: 541251
dataset_size: 3174528
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: valid
path: data/valid-*
task_categories:
- text-classification
language:
- it
tags:
- biology
- medical
Tanslation drop rate:
- Train: 0.64% dropped
- Test: 0.0% dropped
- Dev: 1.87% dropped
NER Tags: {0: 'O', 1: 'B-MYC', 2: 'B-PRO', 3: 'B-BOT', 4: 'B-BAC', 5: 'B-ZOO', 6: 'B-MED', 7: 'B-VIR', 8: 'B-ENT', 9: 'I-MYC', 10: 'I-PRO', 11: 'I-BOT', 12: 'I-BAC', 13: 'I-ZOO', 14: 'I-MED', 15: 'I-VIR', 16: 'I-ENT'}