| 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: 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 | |
| splits: | |
| - name: de | |
| num_bytes: 1103674014.714 | |
| num_examples: 1966 | |
| - name: fr | |
| num_bytes: 1053785539.44 | |
| num_examples: 1656 | |
| - name: nl | |
| num_bytes: 600220358.88 | |
| num_examples: 1120 | |
| - name: es | |
| num_bytes: 1151943335.024 | |
| num_examples: 1512 | |
| download_size: 3330795263 | |
| dataset_size: 3909623248.0580006 | |
| # Dataset Card for "spoken-ner" | |
| [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |