Références :
plus nerveux
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:xglue/ner')
- Description :
XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained
models with respect to cross-lingual natural language understanding and generation.
The benchmark is composed of the following 11 tasks:
- NER
- POS Tagging (POS)
- News Classification (NC)
- MLQA
- XNLI
- PAWS-X
- Query-Ad Matching (QADSM)
- Web Page Ranking (WPR)
- QA Matching (QAM)
- Question Generation (QG)
- News Title Generation (NTG)
For more information, please take a look at https://microsoft.github.io/XGLUE/.
- Licence : Aucune licence connue
- Version : 1.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'test.de' | 3007 |
'test.en' | 3454 |
'test.es' | 1523 |
'test.nl' | 5202 |
'train' | 14042 |
'validation.de' | 2874 |
'validation.en' | 3252 |
'validation.es' | 1923 |
'validation.nl' | 2895 |
- Caractéristiques :
{
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"num_classes": 9,
"names": [
"O",
"B-PER",
"I-PER",
"B-ORG",
"I-ORG",
"B-LOC",
"I-LOC",
"B-MISC",
"I-MISC"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
position
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:xglue/pos')
- Description :
XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained
models with respect to cross-lingual natural language understanding and generation.
The benchmark is composed of the following 11 tasks:
- NER
- POS Tagging (POS)
- News Classification (NC)
- MLQA
- XNLI
- PAWS-X
- Query-Ad Matching (QADSM)
- Web Page Ranking (WPR)
- QA Matching (QAM)
- Question Generation (QG)
- News Title Generation (NTG)
For more information, please take a look at https://microsoft.github.io/XGLUE/.
- Licence : Aucune licence connue
- Version : 1.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'test.ar' | 679 |
'test.bg' | 1115 |
'test.de' | 976 |
'test.el' | 455 |
'test.en' | 2076 |
'test.es' | 425 |
'test.fr' | 415 |
'test.hi' | 1683 |
'test.it' | 481 |
'test.nl' | 595 |
'test.pl' | 2214 |
'test.ru' | 600 |
'test.th' | 497 |
'test.tr' | 982 |
'test.ur' | 534 |
'test.vi' | 799 |
'test.zh' | 499 |
'train' | 25376 |
'validation.ar' | 908 |
'validation.bg' | 1114 |
'validation.de' | 798 |
'validation.el' | 402 |
'validation.en' | 2001 |
'validation.es' | 1399 |
'validation.fr' | 1475 |
'validation.hi' | 1658 |
'validation.it' | 563 |
'validation.nl' | 717 |
'validation.pl' | 2214 |
'validation.ru' | 578 |
'validation.th' | 497 |
'validation.tr' | 987 |
'validation.ur' | 551 |
'validation.vi' | 799 |
'validation.zh' | 499 |
- Caractéristiques :
{
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"pos": {
"feature": {
"num_classes": 17,
"names": [
"ADJ",
"ADP",
"ADV",
"AUX",
"CCONJ",
"DET",
"INTJ",
"NOUN",
"NUM",
"PART",
"PRON",
"PROPN",
"PUNCT",
"SCONJ",
"SYM",
"VERB",
"X"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
mlqa
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:xglue/mlqa')
- Description :
XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained
models with respect to cross-lingual natural language understanding and generation.
The benchmark is composed of the following 11 tasks:
- NER
- POS Tagging (POS)
- News Classification (NC)
- MLQA
- XNLI
- PAWS-X
- Query-Ad Matching (QADSM)
- Web Page Ranking (WPR)
- QA Matching (QAM)
- Question Generation (QG)
- News Title Generation (NTG)
For more information, please take a look at https://microsoft.github.io/XGLUE/.
- Licence : Aucune licence connue
- Version : 1.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'test.ar' | 5335 |
'test.de' | 4517 |
'test.en' | 11590 |
'test.es' | 5253 |
'test.hi' | 4918 |
'test.vi' | 5495 |
'test.zh' | 5137 |
'train' | 87599 |
'validation.ar' | 517 |
'validation.de' | 512 |
'validation.en' | 1148 |
'validation.es' | 500 |
'validation.hi' | 507 |
'validation.vi' | 511 |
'validation.zh' | 504 |
- Caractéristiques :
{
"context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answers": {
"feature": {
"answer_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
Caroline du Nord
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:xglue/nc')
- Description :
XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained
models with respect to cross-lingual natural language understanding and generation.
The benchmark is composed of the following 11 tasks:
- NER
- POS Tagging (POS)
- News Classification (NC)
- MLQA
- XNLI
- PAWS-X
- Query-Ad Matching (QADSM)
- Web Page Ranking (WPR)
- QA Matching (QAM)
- Question Generation (QG)
- News Title Generation (NTG)
For more information, please take a look at https://microsoft.github.io/XGLUE/.
- Licence : Aucune licence connue
- Version : 1.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'test.de' | 10000 |
'test.en' | 10000 |
'test.es' | 10000 |
'test.fr' | 10000 |
'test.ru' | 10000 |
'train' | 100000 |
'validation.de' | 10000 |
'validation.en' | 10000 |
'validation.es' | 10000 |
'validation.fr' | 10000 |
'validation.ru' | 10000 |
- Caractéristiques :
{
"news_title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"news_body": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"news_category": {
"num_classes": 10,
"names": [
"foodanddrink",
"sports",
"travel",
"finance",
"lifestyle",
"news",
"entertainment",
"health",
"video",
"autos"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
xnli
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:xglue/xnli')
- Description :
XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained
models with respect to cross-lingual natural language understanding and generation.
The benchmark is composed of the following 11 tasks:
- NER
- POS Tagging (POS)
- News Classification (NC)
- MLQA
- XNLI
- PAWS-X
- Query-Ad Matching (QADSM)
- Web Page Ranking (WPR)
- QA Matching (QAM)
- Question Generation (QG)
- News Title Generation (NTG)
For more information, please take a look at https://microsoft.github.io/XGLUE/.
- Licence : Aucune licence connue
- Version : 1.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'test.ar' | 5010 |
'test.bg' | 5010 |
'test.de' | 5010 |
'test.el' | 5010 |
'test.en' | 5010 |
'test.es' | 5010 |
'test.fr' | 5010 |
'test.hi' | 5010 |
'test.ru' | 5010 |
'test.sw' | 5010 |
'test.th' | 5010 |
'test.tr' | 5010 |
'test.ur' | 5010 |
'test.vi' | 5010 |
'test.zh' | 5010 |
'train' | 392702 |
'validation.ar' | 2490 |
'validation.bg' | 2490 |
'validation.de' | 2490 |
'validation.el' | 2490 |
'validation.en' | 2490 |
'validation.es' | 2490 |
'validation.fr' | 2490 |
'validation.hi' | 2490 |
'validation.ru' | 2490 |
'validation.sw' | 2490 |
'validation.th' | 2490 |
'validation.tr' | 2490 |
'validation.ur' | 2490 |
'validation.vi' | 2490 |
'validation.zh' | 2490 |
- Caractéristiques :
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"hypothesis": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 3,
"names": [
"entailment",
"neutral",
"contradiction"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
pattes-x
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:xglue/paws-x')
- Description :
XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained
models with respect to cross-lingual natural language understanding and generation.
The benchmark is composed of the following 11 tasks:
- NER
- POS Tagging (POS)
- News Classification (NC)
- MLQA
- XNLI
- PAWS-X
- Query-Ad Matching (QADSM)
- Web Page Ranking (WPR)
- QA Matching (QAM)
- Question Generation (QG)
- News Title Generation (NTG)
For more information, please take a look at https://microsoft.github.io/XGLUE/.
- Licence : Aucune licence connue
- Version : 1.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'test.de' | 2000 |
'test.en' | 2000 |
'test.es' | 2000 |
'test.fr' | 2000 |
'train' | 49401 |
'validation.de' | 2000 |
'validation.en' | 2000 |
'validation.es' | 2000 |
'validation.fr' | 2000 |
- Caractéristiques :
{
"sentence1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 2,
"names": [
"different",
"same"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
qadsm
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:xglue/qadsm')
- Description :
XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained
models with respect to cross-lingual natural language understanding and generation.
The benchmark is composed of the following 11 tasks:
- NER
- POS Tagging (POS)
- News Classification (NC)
- MLQA
- XNLI
- PAWS-X
- Query-Ad Matching (QADSM)
- Web Page Ranking (WPR)
- QA Matching (QAM)
- Question Generation (QG)
- News Title Generation (NTG)
For more information, please take a look at https://microsoft.github.io/XGLUE/.
- Licence : Aucune licence connue
- Version : 1.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'test.de' | 10000 |
'test.en' | 10000 |
'test.fr' | 10000 |
'train' | 100000 |
'validation.de' | 10000 |
'validation.en' | 10000 |
'validation.fr' | 10000 |
- Caractéristiques :
{
"query": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"ad_title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"ad_description": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"relevance_label": {
"num_classes": 2,
"names": [
"Bad",
"Good"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
wpr
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:xglue/wpr')
- Description :
XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained
models with respect to cross-lingual natural language understanding and generation.
The benchmark is composed of the following 11 tasks:
- NER
- POS Tagging (POS)
- News Classification (NC)
- MLQA
- XNLI
- PAWS-X
- Query-Ad Matching (QADSM)
- Web Page Ranking (WPR)
- QA Matching (QAM)
- Question Generation (QG)
- News Title Generation (NTG)
For more information, please take a look at https://microsoft.github.io/XGLUE/.
- Licence : Aucune licence connue
- Version : 1.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'test.de' | 9997 |
'test.en' | 10004 |
'test.es' | 10006 |
'test.fr' | 10020 |
'test.it' | 10001 |
'test.pt' | 10015 |
'test.zh' | 9999 |
'train' | 99997 |
'validation.de' | 10004 |
'validation.en' | 10008 |
'validation.es' | 10004 |
'validation.fr' | 10005 |
'validation.it' | 10003 |
'validation.pt' | 10001 |
'validation.zh' | 10002 |
- Caractéristiques :
{
"query": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"web_page_title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"web_page_snippet": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"relavance_label": {
"num_classes": 5,
"names": [
"Bad",
"Fair",
"Good",
"Excellent",
"Perfect"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
qam
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:xglue/qam')
- Description :
XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained
models with respect to cross-lingual natural language understanding and generation.
The benchmark is composed of the following 11 tasks:
- NER
- POS Tagging (POS)
- News Classification (NC)
- MLQA
- XNLI
- PAWS-X
- Query-Ad Matching (QADSM)
- Web Page Ranking (WPR)
- QA Matching (QAM)
- Question Generation (QG)
- News Title Generation (NTG)
For more information, please take a look at https://microsoft.github.io/XGLUE/.
- Licence : Aucune licence connue
- Version : 1.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'test.de' | 10000 |
'test.en' | 10000 |
'test.fr' | 10000 |
'train' | 100000 |
'validation.de' | 10000 |
'validation.en' | 10000 |
'validation.fr' | 10000 |
- Caractéristiques :
{
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 2,
"names": [
"False",
"True"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
qg
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:xglue/qg')
- Description :
XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained
models with respect to cross-lingual natural language understanding and generation.
The benchmark is composed of the following 11 tasks:
- NER
- POS Tagging (POS)
- News Classification (NC)
- MLQA
- XNLI
- PAWS-X
- Query-Ad Matching (QADSM)
- Web Page Ranking (WPR)
- QA Matching (QAM)
- Question Generation (QG)
- News Title Generation (NTG)
For more information, please take a look at https://microsoft.github.io/XGLUE/.
- Licence : Aucune licence connue
- Version : 1.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'test.de' | 10000 |
'test.en' | 10000 |
'test.es' | 10000 |
'test.fr' | 10000 |
'test.it' | 10000 |
'test.pt' | 10000 |
'train' | 100000 |
'validation.de' | 10000 |
'validation.en' | 10000 |
'validation.es' | 10000 |
'validation.fr' | 10000 |
'validation.it' | 10000 |
'validation.pt' | 10000 |
- Caractéristiques :
{
"answer_passage": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
ntg
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:xglue/ntg')
- Description :
XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained
models with respect to cross-lingual natural language understanding and generation.
The benchmark is composed of the following 11 tasks:
- NER
- POS Tagging (POS)
- News Classification (NC)
- MLQA
- XNLI
- PAWS-X
- Query-Ad Matching (QADSM)
- Web Page Ranking (WPR)
- QA Matching (QAM)
- Question Generation (QG)
- News Title Generation (NTG)
For more information, please take a look at https://microsoft.github.io/XGLUE/.
- Licence : Aucune licence connue
- Version : 1.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'test.de' | 10000 |
'test.en' | 10000 |
'test.es' | 10000 |
'test.fr' | 10000 |
'test.ru' | 10000 |
'train' | 300000 |
'validation.de' | 10000 |
'validation.en' | 10000 |
'validation.es' | 10000 |
'validation.fr' | 10000 |
'validation.ru' | 10000 |
- Caractéristiques :
{
"news_body": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"news_title": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}