|
--- |
|
dataset_info: |
|
features: |
|
- name: audio_id |
|
dtype: string |
|
- name: language |
|
dtype: |
|
class_label: |
|
names: |
|
'0': en |
|
'1': de |
|
'2': fr |
|
'3': es |
|
'4': pl |
|
'5': it |
|
'6': ro |
|
'7': hu |
|
'8': cs |
|
'9': nl |
|
'10': fi |
|
'11': hr |
|
'12': sk |
|
'13': sl |
|
'14': et |
|
'15': lt |
|
'16': en_accented |
|
- name: audio |
|
dtype: |
|
audio: |
|
sampling_rate: 16000 |
|
- name: sentence |
|
dtype: string |
|
- name: unified_entities |
|
sequence: |
|
class_label: |
|
names: |
|
'0': B-cell_line |
|
'1': B-character_name |
|
'2': B-language |
|
'3': B-disease |
|
'4': B-event |
|
'5': B-organization |
|
'6': B-character |
|
'7': B-origin |
|
'8': B-other |
|
'9': B-dish |
|
'10': B-relationship |
|
'11': B-artifact |
|
'12': B-work_of_art |
|
'13': B-facility |
|
'14': B-product |
|
'15': B-amenity |
|
'16': B-rating |
|
'17': B-actor |
|
'18': B-date |
|
'19': B-ratings_average |
|
'20': B-quantity |
|
'21': B-dna |
|
'22': B-quote |
|
'23': B-title |
|
'24': B-song |
|
'25': B-genre |
|
'26': B-cuisine |
|
'27': B-soundtrack |
|
'28': B-ordinal_number |
|
'29': B-protein |
|
'30': B-collection |
|
'31': B-money |
|
'32': B-person |
|
'33': B-project |
|
'34': B-group |
|
'35': B-review |
|
'36': B-percent |
|
'37': B-law |
|
'38': B-director |
|
'39': B-award |
|
'40': B-chemical |
|
'41': B-geopolitical_area |
|
'42': B-rna |
|
'43': B-restaurant |
|
'44': B-location |
|
'45': B-opinion |
|
'46': B-cell_type |
|
'47': B-trailer |
|
'48': B-cardinal_number |
|
'49': B-plot |
|
'50': B-corporation |
|
'51': B-time |
|
'52': I-cell_line |
|
'53': I-character_name |
|
'54': I-language |
|
'55': I-disease |
|
'56': I-event |
|
'57': I-organization |
|
'58': I-character |
|
'59': I-origin |
|
'60': I-other |
|
'61': I-dish |
|
'62': I-relationship |
|
'63': I-artifact |
|
'64': I-work_of_art |
|
'65': I-facility |
|
'66': I-product |
|
'67': I-amenity |
|
'68': I-rating |
|
'69': I-actor |
|
'70': I-date |
|
'71': I-ratings_average |
|
'72': I-quantity |
|
'73': I-dna |
|
'74': I-quote |
|
'75': I-title |
|
'76': I-song |
|
'77': I-genre |
|
'78': I-cuisine |
|
'79': I-soundtrack |
|
'80': I-ordinal_number |
|
'81': I-protein |
|
'82': I-collection |
|
'83': I-money |
|
'84': I-person |
|
'85': I-project |
|
'86': I-group |
|
'87': I-review |
|
'88': I-percent |
|
'89': I-law |
|
'90': I-director |
|
'91': I-award |
|
'92': I-chemical |
|
'93': I-geopolitical_area |
|
'94': I-rna |
|
'95': I-restaurant |
|
'96': I-location |
|
'97': I-opinion |
|
'98': I-cell_type |
|
'99': I-trailer |
|
'100': I-cardinal_number |
|
'101': I-plot |
|
'102': I-corporation |
|
'103': I-time |
|
'104': O |
|
- name: raw_entities |
|
sequence: |
|
class_label: |
|
names: |
|
'0': O |
|
'1': B-cardinal number |
|
'2': B-date |
|
'3': I-date |
|
'4': B-person |
|
'5': I-person |
|
'6': B-group |
|
'7': B-geopolitical area |
|
'8': I-geopolitical area |
|
'9': B-law |
|
'10': I-law |
|
'11': B-organization |
|
'12': I-organization |
|
'13': B-percent |
|
'14': I-percent |
|
'15': B-ordinal number |
|
'16': B-money |
|
'17': I-money |
|
'18': B-work of art |
|
'19': I-work of art |
|
'20': B-facility |
|
'21': B-time |
|
'22': I-cardinal number |
|
'23': B-location |
|
'24': B-quantity |
|
'25': I-quantity |
|
'26': I-group |
|
'27': I-location |
|
'28': B-product |
|
'29': I-time |
|
'30': B-event |
|
'31': I-event |
|
'32': I-facility |
|
'33': B-language |
|
'34': I-product |
|
'35': I-ordinal number |
|
'36': I-language |
|
splits: |
|
- name: de |
|
num_bytes: 1131409390.498 |
|
num_examples: 1966 |
|
- name: es |
|
num_bytes: 1141307288.576 |
|
num_examples: 1512 |
|
- name: fr |
|
num_bytes: 1058324947.032 |
|
num_examples: 1656 |
|
- name: nl |
|
num_bytes: 602932929.76 |
|
num_examples: 1120 |
|
download_size: 3332139599 |
|
dataset_size: 3933974555.866 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: de |
|
path: data/de-* |
|
- split: es |
|
path: data/es-* |
|
- split: fr |
|
path: data/fr-* |
|
- split: nl |
|
path: data/nl-* |
|
language: |
|
- de |
|
- es |
|
- fr |
|
- nl |
|
tags: |
|
- spoken-ner |
|
- multilingual |
|
- MSNER |
|
- spoken-language-understanding |
|
pretty_name: MSNER |
|
--- |
|
# Dataset Card for "spoken-ner" |
|
|
|
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
