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iwslt2017

References:

iwslt2017-en-it

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:iwslt2017/iwslt2017-en-it')
  • Description:
The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:

  German, English, Italian, Dutch, Romanian.

For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 1566
'train' 231619
'validation' 929
  • Features:
{
    "translation": {
        "languages": [
            "en",
            "it"
        ],
        "id": null,
        "_type": "Translation"
    }
}

iwslt2017-en-nl

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:iwslt2017/iwslt2017-en-nl')
  • Description:
The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:

  German, English, Italian, Dutch, Romanian.

For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 1777
'train' 237240
'validation' 1003
  • Features:
{
    "translation": {
        "languages": [
            "en",
            "nl"
        ],
        "id": null,
        "_type": "Translation"
    }
}

iwslt2017-en-ro

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:iwslt2017/iwslt2017-en-ro')
  • Description:
The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:

  German, English, Italian, Dutch, Romanian.

For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 1678
'train' 220538
'validation' 914
  • Features:
{
    "translation": {
        "languages": [
            "en",
            "ro"
        ],
        "id": null,
        "_type": "Translation"
    }
}

iwslt2017-it-en

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:iwslt2017/iwslt2017-it-en')
  • Description:
The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:

  German, English, Italian, Dutch, Romanian.

For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 1566
'train' 231619
'validation' 929
  • Features:
{
    "translation": {
        "languages": [
            "it",
            "en"
        ],
        "id": null,
        "_type": "Translation"
    }
}

iwslt2017-it-nl

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:iwslt2017/iwslt2017-it-nl')
  • Description:
The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:

  German, English, Italian, Dutch, Romanian.

For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 1669
'train' 233415
'validation' 1001
  • Features:
{
    "translation": {
        "languages": [
            "it",
            "nl"
        ],
        "id": null,
        "_type": "Translation"
    }
}

iwslt2017-it-ro

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:iwslt2017/iwslt2017-it-ro')
  • Description:
The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:

  German, English, Italian, Dutch, Romanian.

For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 1643
'train' 217551
'validation' 914
  • Features:
{
    "translation": {
        "languages": [
            "it",
            "ro"
        ],
        "id": null,
        "_type": "Translation"
    }
}

iwslt2017-nl-en

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:iwslt2017/iwslt2017-nl-en')
  • Description:
The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:

  German, English, Italian, Dutch, Romanian.

For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 1777
'train' 237240
'validation' 1003
  • Features:
{
    "translation": {
        "languages": [
            "nl",
            "en"
        ],
        "id": null,
        "_type": "Translation"
    }
}

iwslt2017-nl-it

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:iwslt2017/iwslt2017-nl-it')
  • Description:
The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:

  German, English, Italian, Dutch, Romanian.

For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 1669
'train' 233415
'validation' 1001
  • Features:
{
    "translation": {
        "languages": [
            "nl",
            "it"
        ],
        "id": null,
        "_type": "Translation"
    }
}

iwslt2017-nl-ro

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:iwslt2017/iwslt2017-nl-ro')
  • Description:
The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:

  German, English, Italian, Dutch, Romanian.

For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 1680
'train' 206920
'validation' 913
  • Features:
{
    "translation": {
        "languages": [
            "nl",
            "ro"
        ],
        "id": null,
        "_type": "Translation"
    }
}

iwslt2017-ro-en

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:iwslt2017/iwslt2017-ro-en')
  • Description:
The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:

  German, English, Italian, Dutch, Romanian.

For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 1678
'train' 220538
'validation' 914
  • Features:
{
    "translation": {
        "languages": [
            "ro",
            "en"
        ],
        "id": null,
        "_type": "Translation"
    }
}

iwslt2017-ro-it

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:iwslt2017/iwslt2017-ro-it')
  • Description:
The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:

  German, English, Italian, Dutch, Romanian.

For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 1643
'train' 217551
'validation' 914
  • Features:
{
    "translation": {
        "languages": [
            "ro",
            "it"
        ],
        "id": null,
        "_type": "Translation"
    }
}

iwslt2017-ro-nl

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:iwslt2017/iwslt2017-ro-nl')
  • Description:
The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:

  German, English, Italian, Dutch, Romanian.

For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 1680
'train' 206920
'validation' 913
  • Features:
{
    "translation": {
        "languages": [
            "ro",
            "nl"
        ],
        "id": null,
        "_type": "Translation"
    }
}

iwslt2017-ar-en

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:iwslt2017/iwslt2017-ar-en')
  • Description:
The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:

  German, English, Italian, Dutch, Romanian.

For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 8583
'train' 231713
'validation' 888
  • Features:
{
    "translation": {
        "languages": [
            "ar",
            "en"
        ],
        "id": null,
        "_type": "Translation"
    }
}

iwslt2017-de-en

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:iwslt2017/iwslt2017-de-en')
  • Description:
The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:

  German, English, Italian, Dutch, Romanian.

For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 8079
'train' 206112
'validation' 888
  • Features:
{
    "translation": {
        "languages": [
            "de",
            "en"
        ],
        "id": null,
        "_type": "Translation"
    }
}

iwslt2017-en-ar

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:iwslt2017/iwslt2017-en-ar')
  • Description:
The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:

  German, English, Italian, Dutch, Romanian.

For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 8583
'train' 231713
'validation' 888
  • Features:
{
    "translation": {
        "languages": [
            "en",
            "ar"
        ],
        "id": null,
        "_type": "Translation"
    }
}

iwslt2017-en-de

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:iwslt2017/iwslt2017-en-de')
  • Description:
The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:

  German, English, Italian, Dutch, Romanian.

For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 8079
'train' 206112
'validation' 888
  • Features:
{
    "translation": {
        "languages": [
            "en",
            "de"
        ],
        "id": null,
        "_type": "Translation"
    }
}

iwslt2017-en-fr

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:iwslt2017/iwslt2017-en-fr')
  • Description:
The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:

  German, English, Italian, Dutch, Romanian.

For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 8597
'train' 232825
'validation' 890
  • Features:
{
    "translation": {
        "languages": [
            "en",
            "fr"
        ],
        "id": null,
        "_type": "Translation"
    }
}

iwslt2017-en-ja

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:iwslt2017/iwslt2017-en-ja')
  • Description:
The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:

  German, English, Italian, Dutch, Romanian.

For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 8469
'train' 223108
'validation' 871
  • Features:
{
    "translation": {
        "languages": [
            "en",
            "ja"
        ],
        "id": null,
        "_type": "Translation"
    }
}

iwslt2017-en-ko

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:iwslt2017/iwslt2017-en-ko')
  • Description:
The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:

  German, English, Italian, Dutch, Romanian.

For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 8514
'train' 230240
'validation' 879
  • Features:
{
    "translation": {
        "languages": [
            "en",
            "ko"
        ],
        "id": null,
        "_type": "Translation"
    }
}

iwslt2017-en-zh

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:iwslt2017/iwslt2017-en-zh')
  • Description:
The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:

  German, English, Italian, Dutch, Romanian.

For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 8549
'train' 231266
'validation' 879
  • Features:
{
    "translation": {
        "languages": [
            "en",
            "zh"
        ],
        "id": null,
        "_type": "Translation"
    }
}

iwslt2017-fr-en

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:iwslt2017/iwslt2017-fr-en')
  • Description:
The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:

  German, English, Italian, Dutch, Romanian.

For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 8597
'train' 232825
'validation' 890
  • Features:
{
    "translation": {
        "languages": [
            "fr",
            "en"
        ],
        "id": null,
        "_type": "Translation"
    }
}

iwslt2017-ja-en

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:iwslt2017/iwslt2017-ja-en')
  • Description:
The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:

  German, English, Italian, Dutch, Romanian.

For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 8469
'train' 223108
'validation' 871
  • Features:
{
    "translation": {
        "languages": [
            "ja",
            "en"
        ],
        "id": null,
        "_type": "Translation"
    }
}

iwslt2017-ko-en

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:iwslt2017/iwslt2017-ko-en')
  • Description:
The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:

  German, English, Italian, Dutch, Romanian.

For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 8514
'train' 230240
'validation' 879
  • Features:
{
    "translation": {
        "languages": [
            "ko",
            "en"
        ],
        "id": null,
        "_type": "Translation"
    }
}

iwslt2017-zh-en

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:iwslt2017/iwslt2017-zh-en')
  • Description:
The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:

  German, English, Italian, Dutch, Romanian.

For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'test' 8549
'train' 231266
'validation' 879
  • Features:
{
    "translation": {
        "languages": [
            "zh",
            "en"
        ],
        "id": null,
        "_type": "Translation"
    }
}