Datasets:

Modalities:
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Formats:
parquet
Languages:
Spanish
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babylm-spa / README.md
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metadata
task_categories:
  - text-generation
language:
  - spa
license: unknown
size_categories:
  - 10K<n<100K
dataset_info:
  features:
    - name: text
      dtype: string
    - name: doc-id
      dtype: string
    - name: category
      dtype: string
    - name: data-source
      dtype: string
    - name: script
      dtype: string
    - name: age-estimate
      dtype: string
    - name: license
      dtype: string
    - name: misc
      dtype: string
    - name: num-tokens
      dtype: int64
    - name: language
      dtype: string

BabyLM Dataset

Dataset Description

This dataset is part of the BabyLM multilingual collection.
More information at: babylm.github.io/babybabellm

Dataset Summary

  • Language: spa
  • Script: Latn
  • Tier: 10M
  • Byte Premium Factor: 1.083832
  • Size (MB): 58.75
  • Expected Size (MB): 58.85
  • Number of Documents: 11,502
  • Total Tokens: 9,709,092
  • Tokenizer: separate by whitespace

Tokens Per Category

  • child-available-speech: 103,394 tokens
  • child-books: 3,950,325 tokens
  • child-directed-speech: 2,874,990 tokens
  • child-wiki: 1,435,530 tokens
  • padding-opensubtitles: 1,344,853 tokens

Tokens Per Group

  • Transcription: 2,978,384 tokens
  • Education: 0 tokens
  • Books, Wiki, News: 5,385,855 tokens
  • Subtitles: 0 tokens
  • Padding: 1,344,853 tokens

Data Fields

  • text: The document text
  • doc-id: Unique identifier for the document
  • category: Type of content (e.g., child-directed-speech, educational, etc.)
  • data-source: Original source of the data
  • script: Writing system used (ISO 15924)
  • age-estimate: Target age or age range
  • license: Data license
  • misc: Additional metadata (JSON string)
  • num-tokens: Number of tokens per item (based on white-space split)
  • language: Language code (ISO 639-3)

Licensing Information

Please see license in individual documents

Data Sources & Attribution

Books

Transcription

Transcriptions

Data Curators

  • Diana Galvan-Sosa
  • Francesca Padovani
  • Maria Grandury
  • Suchir Salhan
  • Susana Zhou

Comments

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