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Datasets:
sleeping-ai
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MemeEffect-382K

Modalities:
Image
Text
Formats:
json
Languages:
English
Size:
100K - 1M
Tags:
art
music
meme-voice
meme-voice-effect
Libraries:
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Dataset card Data Studio Files
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metadata
license: cc-by-nc-nd-4.0
language:
  - en
tags:
  - art
  - music
  - meme-voice
  - meme-voice-effect

Excited to release Meme Effect 382K. It is the largest known collection of Meme voice effects to train fundamental text-to-voice models that does not only tackle human emotions rather consider factor like sarcasm and popular meme culture to become more human.

We hope that researchers will consider building human centric TTS models and include our dataset in their training corpus to make text-to-speech/voice models more human.

Data fields

  • id: Unique identifier for the sound.
  • owner: Information about the uploader.
    • id: Uploader’s unique ID.
    • name: Display name of the uploader.
    • slug: URL-friendly version of the name.
    • verified: Boolean flag for account verification.
    • voicemodAccountId: Uploader’s Voicemod account ID.
  • title: Title of the sound.
  • category: Category tag (e.g., memes, music).
  • dmca: Boolean flag indicating DMCA status.
  • tags: List of associated tags.
  • imagePath: URL to the image representing the sound.
  • thumbnailS: Small thumbnail image URL.
  • thumbnailM: Medium thumbnail image URL.
  • path: URL to the .mp3 file of the sound.
  • oggPath: URL to the .ogg file version.
  • description: Description provided by the user.
  • createdAt: ISO timestamp when the sound was created.
  • anonymous: Boolean indicating anonymous upload.
  • social: Engagement metrics.
    • likeCount: Number of likes.
    • sharedCount: Number of shares.
    • bookmarkCount: Number of bookmarks.
  • properties: Technical sound properties.
    • duration: Duration in milliseconds.
    • loudness: Average loudness (dB).
    • maximumAmplitude: Max amplitude level.
  • stats: Usage statistics.
    • downloadCount: Total downloads.
    • playedCount: Total plays.
    • sendVoicemodCount: Sent via Voicemod count.
    • visitCount: Page visit count.
  • permalink: Permanent URL to the sound’s page.
  • explicit: Boolean indicating explicit content.
  • updatedAt: ISO timestamp of last update.
  • moderationStatus: Moderation flag (e.g., explicit, safe).
  • uploadSource: Platform or method used to upload.
  • uploadStatus: Current processing status of the file.
  • textModeration: NLP-based moderation results.
    • title: Classification of title content.
    • description: Classification of description.
    • tags: Classification of tags.
    • transcription: Classification of transcription.

Ethical Statement

We are releasing this under research exemption provided by the EU and following all the ethical practices of respective local laws where the data was downloaded. We also restrict the data access to non-commercial and research purposes-only.

LICENCE

We release this dataset under CC-by-nc-nd 4.0, that means

  1. You can't create derivatives of this dataset and reupload it anywhere on the internet without our permission
  2. No commercial activities are allowed and if you break our LICENCE terms, you will be subjected to respective law accordance to the action taken by the parties involved in making this dataset.