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This dataset contains audio files and transcripts in English and related to manufacturing. We collected the scripts during the Horizon Europe RIA COALA (GA 957296, project reference website) from industrial use cases and hired a service provider to generate the related audio files (BIBA - Bremer Institut für Produktion und Logistik GmbH ordered the service). The service provider checked the audio files for quality. The service provider recruited crowd workers, and gathered their audio records, informed consent (privacy) and agreement that their records become public domain (Creative Commons 0; https://creativecommons.org/share-your-work/public-domain/cc0/). The service provider declared to follow a Crowd Code of Ethics and a Fair Pay policy. The metadata file contains the following information: file_name: name of the audio file script: script the speaker had to speak scriptId: the numeric identifier of the script participantId: the numeric identifier of the participant (speaker) gender: the gender as indicated by the participant (MALE or FEMALE) age: the age in years as indicated by the participant age_range: the age range in years (18-30, 31-45, 46+) country: the birth country indicated by the participant current_country: the country of residence indicated by the participant primary_language: the language indicated as primary by the participant ever_worked_factory: answer to the question: "Have you ever worked in a factory, manufacturing setting?" (Yes/No) years_worked_factory: answer to the question: "If yes, for how many years?" (1-10, 10+) background_noise_type: background noise in the audio as indicated by the participant (mild, humming/technical, no noise) gdpr_and_ipr_consent: answer to the privacy notice and the ipr transfer to CC-0 (Yes) date_signed: date when the participant signed the consent form (US format, MM.DD.YYYY)
Feedback should be directed to info@coala-h2020.eu.
Manufacturing, English, Language Data, Speech-to-Text, Production, Natural Language Processing
Manufacturing, English, Language Data, Speech-to-Text, Production, Natural Language Processing
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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