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README.md
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@@ -30,7 +30,7 @@ dataset_info:
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sampling_rate: 16000
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- name: sentence
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dtype: string
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- name:
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sequence:
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class_label:
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names:
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@@ -139,21 +139,62 @@ dataset_info:
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'102': I-corporation
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'103': I-time
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'104': O
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splits:
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- name: de
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num_bytes:
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num_examples: 1966
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- name: fr
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num_bytes:
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num_examples: 1656
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- name: nl
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num_bytes:
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num_examples: 1120
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- name: es
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num_bytes:
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num_examples: 1512
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download_size:
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dataset_size:
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---
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# Dataset Card for "spoken-ner"
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sampling_rate: 16000
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- name: sentence
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dtype: string
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- name: unified_entities
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sequence:
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class_label:
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names:
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'102': I-corporation
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'103': I-time
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'104': O
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- name: ontonotes_entities
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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-cardinal number
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'2': B-date
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'3': I-date
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'4': B-person
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'5': I-person
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'6': B-group
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'7': B-geopolitical area
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'8': I-geopolitical area
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'9': B-law
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'10': I-law
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'11': B-organization
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'12': I-organization
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'13': B-percent
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'14': I-percent
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'15': B-ordinal number
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'16': B-money
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'17': I-money
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'18': B-work of art
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'19': I-work of art
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'20': B-facility
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'21': B-time
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'22': I-cardinal number
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'23': B-location
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'24': B-quantity
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'25': I-quantity
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'26': I-group
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'27': I-location
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'28': B-product
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'29': I-time
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'30': B-event
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'31': I-event
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'32': I-facility
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'33': B-language
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'34': I-product
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'35': I-ordinal number
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'36': I-language
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splits:
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- name: de
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num_bytes: 1104049942.714
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num_examples: 1966
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- name: fr
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num_bytes: 1054225315.44
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num_examples: 1656
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- name: nl
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num_bytes: 600447374.88
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num_examples: 1120
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- name: es
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num_bytes: 1152365703.024
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num_examples: 1512
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download_size: 3330860792
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dataset_size: 3911088336.0580006
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---
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# Dataset Card for "spoken-ner"
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