open_subtitles / README.md
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metadata
annotations_creators:
  - found
language_creators:
  - found
language:
  - af
  - ar
  - bg
  - bn
  - br
  - bs
  - ca
  - cs
  - da
  - de
  - el
  - en
  - eo
  - es
  - et
  - eu
  - fa
  - fi
  - fr
  - gl
  - he
  - hi
  - hr
  - hu
  - hy
  - id
  - is
  - it
  - ja
  - ka
  - kk
  - ko
  - lt
  - lv
  - mk
  - ml
  - ms
  - nl
  - 'no'
  - pl
  - pt
  - ro
  - ru
  - si
  - sk
  - sl
  - sq
  - sr
  - sv
  - ta
  - te
  - th
  - tl
  - tr
  - uk
  - ur
  - vi
  - zh
language_bcp47:
  - pt-BR
  - ze-EN
  - ze-ZH
  - zh-CN
  - zh-TW
license:
  - unknown
multilinguality:
  - multilingual
size_categories:
  - 10K<n<100K
  - 1M<n<10M
  - n<1K
source_datasets:
  - original
task_categories:
  - translation
task_ids: []
paperswithcode_id: opensubtitles
pretty_name: OpenSubtitles
dataset_info:
  - config_name: bs-eo
    features:
      - name: id
        dtype: string
      - name: meta
        struct:
          - name: year
            dtype: uint32
          - name: imdbId
            dtype: uint32
          - name: subtitleId
            struct:
              - name: bs
                dtype: uint32
              - name: eo
                dtype: uint32
          - name: sentenceIds
            struct:
              - name: bs
                sequence: uint32
              - name: eo
                sequence: uint32
      - name: translation
        dtype:
          translation:
            languages:
              - bs
              - eo
    splits:
      - name: train
        num_bytes: 1204266
        num_examples: 10989
    download_size: 333050
    dataset_size: 1204266
  - config_name: fr-hy
    features:
      - name: id
        dtype: string
      - name: meta
        struct:
          - name: year
            dtype: uint32
          - name: imdbId
            dtype: uint32
          - name: subtitleId
            struct:
              - name: fr
                dtype: uint32
              - name: hy
                dtype: uint32
          - name: sentenceIds
            struct:
              - name: fr
                sequence: uint32
              - name: hy
                sequence: uint32
      - name: translation
        dtype:
          translation:
            languages:
              - fr
              - hy
    splits:
      - name: train
        num_bytes: 132450
        num_examples: 668
    download_size: 41861
    dataset_size: 132450
  - config_name: da-ru
    features:
      - name: id
        dtype: string
      - name: meta
        struct:
          - name: year
            dtype: uint32
          - name: imdbId
            dtype: uint32
          - name: subtitleId
            struct:
              - name: da
                dtype: uint32
              - name: ru
                dtype: uint32
          - name: sentenceIds
            struct:
              - name: da
                sequence: uint32
              - name: ru
                sequence: uint32
      - name: translation
        dtype:
          translation:
            languages:
              - da
              - ru
    splits:
      - name: train
        num_bytes: 1082649105
        num_examples: 7543012
    download_size: 267995167
    dataset_size: 1082649105
  - config_name: en-hi
    features:
      - name: id
        dtype: string
      - name: meta
        struct:
          - name: year
            dtype: uint32
          - name: imdbId
            dtype: uint32
          - name: subtitleId
            struct:
              - name: en
                dtype: uint32
              - name: hi
                dtype: uint32
          - name: sentenceIds
            struct:
              - name: en
                sequence: uint32
              - name: hi
                sequence: uint32
      - name: translation
        dtype:
          translation:
            languages:
              - en
              - hi
    splits:
      - name: train
        num_bytes: 13845544
        num_examples: 93016
    download_size: 2967295
    dataset_size: 13845544
  - config_name: bn-is
    features:
      - name: id
        dtype: string
      - name: meta
        struct:
          - name: year
            dtype: uint32
          - name: imdbId
            dtype: uint32
          - name: subtitleId
            struct:
              - name: bn
                dtype: uint32
              - name: is
                dtype: uint32
          - name: sentenceIds
            struct:
              - name: bn
                sequence: uint32
              - name: is
                sequence: uint32
      - name: translation
        dtype:
          translation:
            languages:
              - bn
              - is
    splits:
      - name: train
        num_bytes: 6371251
        num_examples: 38272
    download_size: 1411625
    dataset_size: 6371251
config_names:
  - bn-is
  - bs-eo
  - da-ru
  - en-hi
  - fr-hy

Dataset Card for OpenSubtitles

Table of Contents

Dataset Description

Dataset Summary

To load a language pair which isn't part of the config, all you need to do is specify the language code as pairs. You can find the valid pairs in Homepage section of Dataset Description: http://opus.nlpl.eu/OpenSubtitles.php E.g.

dataset = load_dataset("open_subtitles", lang1="fi", lang2="hi")

Supported Tasks and Leaderboards

[More Information Needed]

Languages

The languages in the dataset are:

  • af
  • ar
  • bg
  • bn
  • br
  • bs
  • ca
  • cs
  • da
  • de
  • el
  • en
  • eo
  • es
  • et
  • eu
  • fa
  • fi
  • fr
  • gl
  • he
  • hi
  • hr
  • hu
  • hy
  • id
  • is
  • it
  • ja
  • ka
  • kk
  • ko
  • lt
  • lv
  • mk
  • ml
  • ms
  • nl
  • no
  • pl
  • pt
  • pt_br: Portuguese (Brazil) (pt-BR)
  • ro
  • ru
  • si
  • sk
  • sl
  • sq
  • sr
  • sv
  • ta
  • te
  • th
  • tl
  • tr
  • uk
  • ur
  • vi
  • ze_en: English constituent of Bilingual Chinese-English (subtitles displaying two languages at once, one per line)
  • ze_zh: Chinese constituent of Bilingual Chinese-English (subtitles displaying two languages at once, one per line)
  • zh_cn: Simplified Chinese (zh-CN, zh-Hans)
  • zh_tw: Traditional Chinese (zh-TW, zh-Hant)

Dataset Structure

Data Instances

Here are some examples of questions and facts:

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

[More Information Needed]

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

[More Information Needed]

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

[More Information Needed]

Contributions

Thanks to @abhishekkrthakur for adding this dataset.