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ted_talks_iwslt

References:

eu_ca_2014

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:ted_talks_iwslt/eu_ca_2014')
  • Description:
The core of WIT3 is the TED Talks corpus, that basically redistributes the original content published by the TED Conference website (http://www.ted.com). Since 2007,
the TED Conference, based in California, has been posting all video recordings of its talks together with subtitles in English
and their translations in more than 80 languages. Aside from its cultural and social relevance, this content, which is published under the Creative Commons BYNC-ND license, also represents a precious
language resource for the machine translation research community, thanks to its size, variety of topics, and covered languages.
This effort repurposes the original content in a way which is more convenient for machine translation researchers.
  • License: CC-BY-NC-4.0
  • Version: 1.1.0
  • Splits:
Split Examples
'train' 44
  • Features:
{
    "translation": {
        "languages": [
            "eu",
            "ca"
        ],
        "id": null,
        "_type": "Translation"
    }
}

eu_ca_2015

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:ted_talks_iwslt/eu_ca_2015')
  • Description:
The core of WIT3 is the TED Talks corpus, that basically redistributes the original content published by the TED Conference website (http://www.ted.com). Since 2007,
the TED Conference, based in California, has been posting all video recordings of its talks together with subtitles in English
and their translations in more than 80 languages. Aside from its cultural and social relevance, this content, which is published under the Creative Commons BYNC-ND license, also represents a precious
language resource for the machine translation research community, thanks to its size, variety of topics, and covered languages.
This effort repurposes the original content in a way which is more convenient for machine translation researchers.
  • License: CC-BY-NC-4.0
  • Version: 1.1.0
  • Splits:
Split Examples
'train' 52
  • Features:
{
    "translation": {
        "languages": [
            "eu",
            "ca"
        ],
        "id": null,
        "_type": "Translation"
    }
}

eu_ca_2016

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:ted_talks_iwslt/eu_ca_2016')
  • Description:
The core of WIT3 is the TED Talks corpus, that basically redistributes the original content published by the TED Conference website (http://www.ted.com). Since 2007,
the TED Conference, based in California, has been posting all video recordings of its talks together with subtitles in English
and their translations in more than 80 languages. Aside from its cultural and social relevance, this content, which is published under the Creative Commons BYNC-ND license, also represents a precious
language resource for the machine translation research community, thanks to its size, variety of topics, and covered languages.
This effort repurposes the original content in a way which is more convenient for machine translation researchers.
  • License: CC-BY-NC-4.0
  • Version: 1.1.0
  • Splits:
Split Examples
'train' 54
  • Features:
{
    "translation": {
        "languages": [
            "eu",
            "ca"
        ],
        "id": null,
        "_type": "Translation"
    }
}

nl_en_2014

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:ted_talks_iwslt/nl_en_2014')
  • Description:
The core of WIT3 is the TED Talks corpus, that basically redistributes the original content published by the TED Conference website (http://www.ted.com). Since 2007,
the TED Conference, based in California, has been posting all video recordings of its talks together with subtitles in English
and their translations in more than 80 languages. Aside from its cultural and social relevance, this content, which is published under the Creative Commons BYNC-ND license, also represents a precious
language resource for the machine translation research community, thanks to its size, variety of topics, and covered languages.
This effort repurposes the original content in a way which is more convenient for machine translation researchers.
  • License: CC-BY-NC-4.0
  • Version: 1.1.0
  • Splits:
Split Examples
'train' 2966
  • Features:
{
    "translation": {
        "languages": [
            "nl",
            "en"
        ],
        "id": null,
        "_type": "Translation"
    }
}

nl_en_2015

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:ted_talks_iwslt/nl_en_2015')
  • Description:
The core of WIT3 is the TED Talks corpus, that basically redistributes the original content published by the TED Conference website (http://www.ted.com). Since 2007,
the TED Conference, based in California, has been posting all video recordings of its talks together with subtitles in English
and their translations in more than 80 languages. Aside from its cultural and social relevance, this content, which is published under the Creative Commons BYNC-ND license, also represents a precious
language resource for the machine translation research community, thanks to its size, variety of topics, and covered languages.
This effort repurposes the original content in a way which is more convenient for machine translation researchers.
  • License: CC-BY-NC-4.0
  • Version: 1.1.0
  • Splits:
Split Examples
'train' 3550
  • Features:
{
    "translation": {
        "languages": [
            "nl",
            "en"
        ],
        "id": null,
        "_type": "Translation"
    }
}

nl_en_2016

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:ted_talks_iwslt/nl_en_2016')
  • Description:
The core of WIT3 is the TED Talks corpus, that basically redistributes the original content published by the TED Conference website (http://www.ted.com). Since 2007,
the TED Conference, based in California, has been posting all video recordings of its talks together with subtitles in English
and their translations in more than 80 languages. Aside from its cultural and social relevance, this content, which is published under the Creative Commons BYNC-ND license, also represents a precious
language resource for the machine translation research community, thanks to its size, variety of topics, and covered languages.
This effort repurposes the original content in a way which is more convenient for machine translation researchers.
  • License: CC-BY-NC-4.0
  • Version: 1.1.0
  • Splits:
Split Examples
'train' 3852
  • Features:
{
    "translation": {
        "languages": [
            "nl",
            "en"
        ],
        "id": null,
        "_type": "Translation"
    }
}

nl_hi_2014

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:ted_talks_iwslt/nl_hi_2014')
  • Description:
The core of WIT3 is the TED Talks corpus, that basically redistributes the original content published by the TED Conference website (http://www.ted.com). Since 2007,
the TED Conference, based in California, has been posting all video recordings of its talks together with subtitles in English
and their translations in more than 80 languages. Aside from its cultural and social relevance, this content, which is published under the Creative Commons BYNC-ND license, also represents a precious
language resource for the machine translation research community, thanks to its size, variety of topics, and covered languages.
This effort repurposes the original content in a way which is more convenient for machine translation researchers.
  • License: CC-BY-NC-4.0
  • Version: 1.1.0
  • Splits:
Split Examples
'train' 367
  • Features:
{
    "translation": {
        "languages": [
            "nl",
            "hi"
        ],
        "id": null,
        "_type": "Translation"
    }
}

nl_hi_2015

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:ted_talks_iwslt/nl_hi_2015')
  • Description:
The core of WIT3 is the TED Talks corpus, that basically redistributes the original content published by the TED Conference website (http://www.ted.com). Since 2007,
the TED Conference, based in California, has been posting all video recordings of its talks together with subtitles in English
and their translations in more than 80 languages. Aside from its cultural and social relevance, this content, which is published under the Creative Commons BYNC-ND license, also represents a precious
language resource for the machine translation research community, thanks to its size, variety of topics, and covered languages.
This effort repurposes the original content in a way which is more convenient for machine translation researchers.
  • License: CC-BY-NC-4.0
  • Version: 1.1.0
  • Splits:
Split Examples
'train' 421
  • Features:
{
    "translation": {
        "languages": [
            "nl",
            "hi"
        ],
        "id": null,
        "_type": "Translation"
    }
}

nl_hi_2016

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:ted_talks_iwslt/nl_hi_2016')
  • Description:
The core of WIT3 is the TED Talks corpus, that basically redistributes the original content published by the TED Conference website (http://www.ted.com). Since 2007,
the TED Conference, based in California, has been posting all video recordings of its talks together with subtitles in English
and their translations in more than 80 languages. Aside from its cultural and social relevance, this content, which is published under the Creative Commons BYNC-ND license, also represents a precious
language resource for the machine translation research community, thanks to its size, variety of topics, and covered languages.
This effort repurposes the original content in a way which is more convenient for machine translation researchers.
  • License: CC-BY-NC-4.0
  • Version: 1.1.0
  • Splits:
Split Examples
'train' 496
  • Features:
{
    "translation": {
        "languages": [
            "nl",
            "hi"
        ],
        "id": null,
        "_type": "Translation"
    }
}

de_ja_2014

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:ted_talks_iwslt/de_ja_2014')
  • Description:
The core of WIT3 is the TED Talks corpus, that basically redistributes the original content published by the TED Conference website (http://www.ted.com). Since 2007,
the TED Conference, based in California, has been posting all video recordings of its talks together with subtitles in English
and their translations in more than 80 languages. Aside from its cultural and social relevance, this content, which is published under the Creative Commons BYNC-ND license, also represents a precious
language resource for the machine translation research community, thanks to its size, variety of topics, and covered languages.
This effort repurposes the original content in a way which is more convenient for machine translation researchers.
  • License: CC-BY-NC-4.0
  • Version: 1.1.0
  • Splits:
Split Examples
'train' 2536
  • Features:
{
    "translation": {
        "languages": [
            "de",
            "ja"
        ],
        "id": null,
        "_type": "Translation"
    }
}

de_ja_2015

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:ted_talks_iwslt/de_ja_2015')
  • Description:
The core of WIT3 is the TED Talks corpus, that basically redistributes the original content published by the TED Conference website (http://www.ted.com). Since 2007,
the TED Conference, based in California, has been posting all video recordings of its talks together with subtitles in English
and their translations in more than 80 languages. Aside from its cultural and social relevance, this content, which is published under the Creative Commons BYNC-ND license, also represents a precious
language resource for the machine translation research community, thanks to its size, variety of topics, and covered languages.
This effort repurposes the original content in a way which is more convenient for machine translation researchers.
  • License: CC-BY-NC-4.0
  • Version: 1.1.0
  • Splits:
Split Examples
'train' 3247
  • Features:
{
    "translation": {
        "languages": [
            "de",
            "ja"
        ],
        "id": null,
        "_type": "Translation"
    }
}

de_ja_2016

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:ted_talks_iwslt/de_ja_2016')
  • Description:
The core of WIT3 is the TED Talks corpus, that basically redistributes the original content published by the TED Conference website (http://www.ted.com). Since 2007,
the TED Conference, based in California, has been posting all video recordings of its talks together with subtitles in English
and their translations in more than 80 languages. Aside from its cultural and social relevance, this content, which is published under the Creative Commons BYNC-ND license, also represents a precious
language resource for the machine translation research community, thanks to its size, variety of topics, and covered languages.
This effort repurposes the original content in a way which is more convenient for machine translation researchers.
  • License: CC-BY-NC-4.0
  • Version: 1.1.0
  • Splits:
Split Examples
'train' 3590
  • Features:
{
    "translation": {
        "languages": [
            "de",
            "ja"
        ],
        "id": null,
        "_type": "Translation"
    }
}

fr-ca_hi_2014

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:ted_talks_iwslt/fr-ca_hi_2014')
  • Description:
The core of WIT3 is the TED Talks corpus, that basically redistributes the original content published by the TED Conference website (http://www.ted.com). Since 2007,
the TED Conference, based in California, has been posting all video recordings of its talks together with subtitles in English
and their translations in more than 80 languages. Aside from its cultural and social relevance, this content, which is published under the Creative Commons BYNC-ND license, also represents a precious
language resource for the machine translation research community, thanks to its size, variety of topics, and covered languages.
This effort repurposes the original content in a way which is more convenient for machine translation researchers.
  • License: CC-BY-NC-4.0
  • Version: 1.1.0
  • Splits:
Split Examples
'train' 127
  • Features:
{
    "translation": {
        "languages": [
            "fr-ca",
            "hi"
        ],
        "id": null,
        "_type": "Translation"
    }
}

fr-ca_hi_2015

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:ted_talks_iwslt/fr-ca_hi_2015')
  • Description:
The core of WIT3 is the TED Talks corpus, that basically redistributes the original content published by the TED Conference website (http://www.ted.com). Since 2007,
the TED Conference, based in California, has been posting all video recordings of its talks together with subtitles in English
and their translations in more than 80 languages. Aside from its cultural and social relevance, this content, which is published under the Creative Commons BYNC-ND license, also represents a precious
language resource for the machine translation research community, thanks to its size, variety of topics, and covered languages.
This effort repurposes the original content in a way which is more convenient for machine translation researchers.
  • License: CC-BY-NC-4.0
  • Version: 1.1.0
  • Splits:
Split Examples
'train' 141
  • Features:
{
    "translation": {
        "languages": [
            "fr-ca",
            "hi"
        ],
        "id": null,
        "_type": "Translation"
    }
}

fr-ca_hi_2016

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:ted_talks_iwslt/fr-ca_hi_2016')
  • Description:
The core of WIT3 is the TED Talks corpus, that basically redistributes the original content published by the TED Conference website (http://www.ted.com). Since 2007,
the TED Conference, based in California, has been posting all video recordings of its talks together with subtitles in English
and their translations in more than 80 languages. Aside from its cultural and social relevance, this content, which is published under the Creative Commons BYNC-ND license, also represents a precious
language resource for the machine translation research community, thanks to its size, variety of topics, and covered languages.
This effort repurposes the original content in a way which is more convenient for machine translation researchers.
  • License: CC-BY-NC-4.0
  • Version: 1.1.0
  • Splits:
Split Examples
'train' 156
  • Features:
{
    "translation": {
        "languages": [
            "fr-ca",
            "hi"
        ],
        "id": null,
        "_type": "Translation"
    }
}