References:
all_languages
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tapaco/all_languages')
- Description:
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a
crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular
linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links
between sentences “meaning the same thing”. This graph is then traversed to extract sets of paraphrases. Several language-independent
filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows
that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or
near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 – 250 000
sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
- License: Creative Commons Attribution 2.0 Generic
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
1926192 |
- Features:
{
"paraphrase_set_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"paraphrase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lists": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
af
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tapaco/af')
- Description:
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a
crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular
linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links
between sentences “meaning the same thing”. This graph is then traversed to extract sets of paraphrases. Several language-independent
filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows
that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or
near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 – 250 000
sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
- License: Creative Commons Attribution 2.0 Generic
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
307 |
- Features:
{
"paraphrase_set_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"paraphrase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lists": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
ar
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tapaco/ar')
- Description:
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a
crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular
linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links
between sentences “meaning the same thing”. This graph is then traversed to extract sets of paraphrases. Several language-independent
filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows
that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or
near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 – 250 000
sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
- License: Creative Commons Attribution 2.0 Generic
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
6446 |
- Features:
{
"paraphrase_set_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"paraphrase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lists": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
az
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tapaco/az')
- Description:
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a
crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular
linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links
between sentences “meaning the same thing”. This graph is then traversed to extract sets of paraphrases. Several language-independent
filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows
that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or
near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 – 250 000
sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
- License: Creative Commons Attribution 2.0 Generic
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
624 |
- Features:
{
"paraphrase_set_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"paraphrase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lists": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
be
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tapaco/be')
- Description:
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a
crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular
linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links
between sentences “meaning the same thing”. This graph is then traversed to extract sets of paraphrases. Several language-independent
filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows
that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or
near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 – 250 000
sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
- License: Creative Commons Attribution 2.0 Generic
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
1512 |
- Features:
{
"paraphrase_set_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"paraphrase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lists": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
ber
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tapaco/ber')
- Description:
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a
crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular
linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links
between sentences “meaning the same thing”. This graph is then traversed to extract sets of paraphrases. Several language-independent
filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows
that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or
near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 – 250 000
sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
- License: Creative Commons Attribution 2.0 Generic
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
67484 |
- Features:
{
"paraphrase_set_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"paraphrase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lists": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
bg
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tapaco/bg')
- Description:
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a
crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular
linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links
between sentences “meaning the same thing”. This graph is then traversed to extract sets of paraphrases. Several language-independent
filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows
that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or
near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 – 250 000
sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
- License: Creative Commons Attribution 2.0 Generic
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
6324 |
- Features:
{
"paraphrase_set_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"paraphrase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lists": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
bn
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tapaco/bn')
- Description:
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a
crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular
linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links
between sentences “meaning the same thing”. This graph is then traversed to extract sets of paraphrases. Several language-independent
filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows
that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or
near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 – 250 000
sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
- License: Creative Commons Attribution 2.0 Generic
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
1440 |
- Features:
{
"paraphrase_set_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"paraphrase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lists": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
br
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tapaco/br')
- Description:
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a
crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular
linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links
between sentences “meaning the same thing”. This graph is then traversed to extract sets of paraphrases. Several language-independent
filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows
that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or
near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 – 250 000
sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
- License: Creative Commons Attribution 2.0 Generic
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
2536 |
- Features:
{
"paraphrase_set_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"paraphrase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lists": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
ca
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tapaco/ca')
- Description:
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a
crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular
linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links
between sentences “meaning the same thing”. This graph is then traversed to extract sets of paraphrases. Several language-independent
filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows
that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or
near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 – 250 000
sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
- License: Creative Commons Attribution 2.0 Generic
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
518 |
- Features:
{
"paraphrase_set_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"paraphrase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lists": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
cbk
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tapaco/cbk')
- Description:
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a
crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular
linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links
between sentences “meaning the same thing”. This graph is then traversed to extract sets of paraphrases. Several language-independent
filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows
that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or
near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 – 250 000
sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
- License: Creative Commons Attribution 2.0 Generic
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
262 |
- Features:
{
"paraphrase_set_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"paraphrase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lists": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
cmn
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tapaco/cmn')
- Description:
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a
crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular
linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links
between sentences “meaning the same thing”. This graph is then traversed to extract sets of paraphrases. Several language-independent
filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows
that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or
near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 – 250 000
sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
- License: Creative Commons Attribution 2.0 Generic
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
12549 |
- Features:
{
"paraphrase_set_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"paraphrase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lists": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
cs
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tapaco/cs')
- Description:
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a
crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular
linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links
between sentences “meaning the same thing”. This graph is then traversed to extract sets of paraphrases. Several language-independent
filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows
that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or
near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 – 250 000
sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
- License: Creative Commons Attribution 2.0 Generic
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
6659 |
- Features:
{
"paraphrase_set_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"paraphrase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lists": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
da
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tapaco/da')
- Description:
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a
crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular
linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links
between sentences “meaning the same thing”. This graph is then traversed to extract sets of paraphrases. Several language-independent
filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows
that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or
near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 – 250 000
sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
- License: Creative Commons Attribution 2.0 Generic
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
11220 |
- Features:
{
"paraphrase_set_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"paraphrase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lists": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
de
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tapaco/de')
- Description:
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a
crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular
linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links
between sentences “meaning the same thing”. This graph is then traversed to extract sets of paraphrases. Several language-independent
filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows
that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or
near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 – 250 000
sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
- License: Creative Commons Attribution 2.0 Generic
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
125091 |
- Features:
{
"paraphrase_set_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"paraphrase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lists": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
el
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tapaco/el')
- Description:
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a
crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular
linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links
between sentences “meaning the same thing”. This graph is then traversed to extract sets of paraphrases. Several language-independent
filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows
that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or
near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 – 250 000
sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
- License: Creative Commons Attribution 2.0 Generic
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
10072 |
- Features:
{
"paraphrase_set_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"paraphrase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lists": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
en
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tapaco/en')
- Description:
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a
crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular
linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links
between sentences “meaning the same thing”. This graph is then traversed to extract sets of paraphrases. Several language-independent
filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows
that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or
near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 – 250 000
sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
- License: Creative Commons Attribution 2.0 Generic
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
158053 |
- Features:
{
"paraphrase_set_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"paraphrase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lists": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
eo
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tapaco/eo')
- Description:
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a
crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular
linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links
between sentences “meaning the same thing”. This graph is then traversed to extract sets of paraphrases. Several language-independent
filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows
that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or
near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 – 250 000
sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
- License: Creative Commons Attribution 2.0 Generic
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
207105 |
- Features:
{
"paraphrase_set_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"paraphrase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lists": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
es
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tapaco/es')
- Description:
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a
crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular
linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links
between sentences “meaning the same thing”. This graph is then traversed to extract sets of paraphrases. Several language-independent
filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows
that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or
near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 – 250 000
sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
- License: Creative Commons Attribution 2.0 Generic
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
85064 |
- Features:
{
"paraphrase_set_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"paraphrase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lists": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
et
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tapaco/et')
- Description:
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a
crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular
linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links
between sentences “meaning the same thing”. This graph is then traversed to extract sets of paraphrases. Several language-independent
filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows
that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or
near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 – 250 000
sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
- License: Creative Commons Attribution 2.0 Generic
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
241 |
- Features:
{
"paraphrase_set_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"paraphrase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lists": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
eu
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tapaco/eu')
- Description:
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a
crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular
linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links
between sentences “meaning the same thing”. This graph is then traversed to extract sets of paraphrases. Several language-independent
filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows
that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or
near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 – 250 000
sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
- License: Creative Commons Attribution 2.0 Generic
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
573 |
- Features:
{
"paraphrase_set_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"paraphrase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lists": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
fi
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tapaco/fi')
- Description:
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a
crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular
linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links
between sentences “meaning the same thing”. This graph is then traversed to extract sets of paraphrases. Several language-independent
filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows
that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or
near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 – 250 000
sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
- License: Creative Commons Attribution 2.0 Generic
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
31753 |
- Features:
{
"paraphrase_set_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"paraphrase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lists": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
fr
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tapaco/fr')
- Description:
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a
crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular
linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links
between sentences “meaning the same thing”. This graph is then traversed to extract sets of paraphrases. Several language-independent
filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows
that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or
near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 – 250 000
sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
- License: Creative Commons Attribution 2.0 Generic
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
116733 |
- Features:
{
"paraphrase_set_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"paraphrase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lists": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
gl
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tapaco/gl')
- Description:
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a
crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular
linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links
between sentences “meaning the same thing”. This graph is then traversed to extract sets of paraphrases. Several language-independent
filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows
that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or
near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 – 250 000
sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
- License: Creative Commons Attribution 2.0 Generic
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
351 |
- Features:
{
"paraphrase_set_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"paraphrase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lists": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
gos
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tapaco/gos')
- Description:
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a
crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular
linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links
between sentences “meaning the same thing”. This graph is then traversed to extract sets of paraphrases. Several language-independent
filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows
that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or
near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 – 250 000
sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
- License: Creative Commons Attribution 2.0 Generic
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|