منابع:
توئیت های موازی
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:tweets_ar_en_parallel/parallelTweets')
- شرح :
Twitter users often post parallel tweets—tweets that contain the same content but are
written in different languages. Parallel tweets can be an important resource for developing
machine translation (MT) systems among other natural language processing (NLP) tasks. This
resource is a result of a generic method for collecting parallel tweets. Using the method,
we compiled a bilingual corpus of English-Arabic parallel tweets and a list of Twitter accounts
who post English-Arabic tweets regularly. Additionally, we annotate a subset of Twitter accounts
with their countries of origin and topic of interest, which provides insights about the population
who post parallel tweets.
- مجوز : مجوز شناخته شده ای وجود ندارد
- نسخه : 1.0.0
- تقسیم ها :
| شکاف | مثال ها |
|---|---|
'test' | 166706 |
- امکانات :
{
"ArabicTweetID": {
"dtype": "int64",
"id": null,
"_type": "Value"
},
"EnglishTweetID": {
"dtype": "int64",
"id": null,
"_type": "Value"
}
}
حساب کاربری
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:tweets_ar_en_parallel/accountList')
- شرح :
Twitter users often post parallel tweets—tweets that contain the same content but are
written in different languages. Parallel tweets can be an important resource for developing
machine translation (MT) systems among other natural language processing (NLP) tasks. This
resource is a result of a generic method for collecting parallel tweets. Using the method,
we compiled a bilingual corpus of English-Arabic parallel tweets and a list of Twitter accounts
who post English-Arabic tweets regularly. Additionally, we annotate a subset of Twitter accounts
with their countries of origin and topic of interest, which provides insights about the population
who post parallel tweets.
- مجوز : مجوز شناخته شده ای وجود ندارد
- نسخه : 1.0.0
- تقسیم ها :
| شکاف | مثال ها |
|---|---|
'test' | 1389 |
- امکانات :
{
"account": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
CountryTopicAnnotation
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:tweets_ar_en_parallel/countryTopicAnnotation')
- شرح :
Twitter users often post parallel tweets—tweets that contain the same content but are
written in different languages. Parallel tweets can be an important resource for developing
machine translation (MT) systems among other natural language processing (NLP) tasks. This
resource is a result of a generic method for collecting parallel tweets. Using the method,
we compiled a bilingual corpus of English-Arabic parallel tweets and a list of Twitter accounts
who post English-Arabic tweets regularly. Additionally, we annotate a subset of Twitter accounts
with their countries of origin and topic of interest, which provides insights about the population
who post parallel tweets.
- مجوز : مجوز شناخته شده ای وجود ندارد
- نسخه : 1.0.0
- تقسیم ها :
| شکاف | مثال ها |
|---|---|
'test' | 200 |
- امکانات :
{
"account": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"country": {
"num_classes": 12,
"names": [
"QA",
"BH",
"AE",
"OM",
"SA",
"PL",
"JO",
"IQ",
"Other",
"EG",
"KW",
"SY"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"topic": {
"num_classes": 12,
"names": [
"Gov",
"Culture",
"Education",
"Sports",
"Travel",
"Events",
"Business",
"Science",
"Politics",
"Health",
"Governoment",
"Media"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}