fathyshalab/massive_recommendation-de-DE

--- dataset_info: features: - name: id dtype: string - name: locale dtype: string - name: partition dtype: string - name: scenario dtype: class_label: names: '0': social '1': transport '2': calendar '3': play '4': news '5': datetime '6': recommendation '7': email '8': iot '9': general '10': audio '11': lists '12': qa '13': cooking '14': takeaway '15': music '16': alarm '17': weather - name: intent dtype: class_label: names: '0': datetime_query '1': iot_hue_lightchange '2': transport_ticket '3': takeaway_query '4': qa_stock '5': general_greet '6': recommendation_events '7': music_dislikeness '8': iot_wemo_off '9': cooking_recipe '10': qa_currency '11': transport_traffic '12': general_quirky '13': weather_query '14': audio_volume_up '15': email_addcontact '16': takeaway_order '17': email_querycontact '18': iot_hue_lightup '19': recommendation_locations '20': play_audiobook '21': lists_createoradd '22': news_query '23': alarm_query '24': iot_wemo_on '25': general_joke '26': qa_definition '27': social_query '28': music_settings '29': audio_volume_other '30': calendar_remove '31': iot_hue_lightdim '32': calendar_query '33': email_sendemail '34': iot_cleaning '35': audio_volume_down '36': play_radio '37': cooking_query '38': datetime_convert '39': qa_maths '40': iot_hue_lightoff '41': iot_hue_lighton '42': transport_query '43': music_likeness '44': email_query '45': play_music '46': audio_volume_mute '47': social_post '48': alarm_set '49': qa_factoid '50': calendar_set '51': play_game '52': alarm_remove '53': lists_remove '54': transport_taxi '55': recommendation_movies '56': iot_coffee '57': music_query '58': play_podcasts '59': lists_query - name: text dtype: string - name: annot_utt dtype: string - name: worker_id dtype: string - name: slot_method sequence: - name: slot dtype: string - name: method dtype: string - name: judgments sequence: - name: worker_id dtype: string - name: intent_score dtype: int8 - name: slots_score dtype: int8 - name: grammar_score dtype: int8 - name: spelling_score dtype: int8 - name: language_identification dtype: string - name: label_name dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 137660 num_examples: 433 - name: validation num_bytes: 22189 num_examples: 69 - name: test num_bytes: 31179 num_examples: 94 download_size: 67251 dataset_size: 191028 --- # Dataset Card for "massive_recommendation-de-DE" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

原始信息汇总

数据集概述

数据集特征

• id: 字符串类型
• locale: 字符串类型
• partition: 字符串类型
• scenario: 分类标签类型，包含以下类别：
  • social
  • transport
  • calendar
  • play
  • news
  • datetime
  • recommendation
  • email
  • iot
  • general
  • audio
  • lists
  • qa
  • cooking
  • takeaway
  • music
  • alarm
  • weather
• intent: 分类标签类型，包含以下类别：
  • datetime_query
  • iot_hue_lightchange
  • transport_ticket
  • takeaway_query
  • qa_stock
  • general_greet
  • recommendation_events
  • music_dislikeness
  • iot_wemo_off
  • cooking_recipe
  • qa_currency
  • transport_traffic
  • general_quirky
  • weather_query
  • audio_volume_up
  • email_addcontact
  • takeaway_order
  • email_querycontact
  • iot_hue_lightup
  • recommendation_locations
  • play_audiobook
  • lists_createoradd
  • news_query
  • alarm_query
  • iot_wemo_on
  • general_joke
  • qa_definition
  • social_query
  • music_settings
  • audio_volume_other
  • calendar_remove
  • iot_hue_lightdim
  • calendar_query
  • email_sendemail
  • iot_cleaning
  • audio_volume_down
  • play_radio
  • cooking_query
  • datetime_convert
  • qa_maths
  • iot_hue_lightoff
  • iot_hue_lighton
  • transport_query
  • music_likeness
  • email_query
  • play_music
  • audio_volume_mute
  • social_post
  • alarm_set
  • qa_factoid
  • calendar_set
  • play_game
  • alarm_remove
  • lists_remove
  • transport_taxi
  • recommendation_movies
  • iot_coffee
  • music_query
  • play_podcasts
  • lists_query
• text: 字符串类型
• annot_utt: 字符串类型
• worker_id: 字符串类型
• slot_method: 序列类型，包含：
  • slot: 字符串类型
  • method: 字符串类型
• judgments: 序列类型，包含：
  • worker_id: 字符串类型
  • intent_score: 8位整数类型
  • slots_score: 8位整数类型
  • grammar_score: 8位整数类型
  • spelling_score: 8位整数类型
  • language_identification: 字符串类型
• label_name: 字符串类型
• label: 64位整数类型

数据集分割

• train: 433个样本，137660字节
• validation: 69个样本，22189字节
• test: 94个样本，31179字节

数据集大小

• 下载大小: 67251字节
• 数据集总大小: 191028字节