सन्दर्भ:
समानांतर ट्वीट्स
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:tweets_ar_en_parallel/parallelTweets')
- विवरण :
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.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 1.0.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'test' | 166706 |
- विशेषताएँ :
{
"ArabicTweetID": {
"dtype": "int64",
"id": null,
"_type": "Value"
},
"EnglishTweetID": {
"dtype": "int64",
"id": null,
"_type": "Value"
}
}
खाता सूची
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:tweets_ar_en_parallel/accountList')
- विवरण :
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.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 1.0.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'test' | 1389 |
- विशेषताएँ :
{
"account": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
देश विषयवस्तु
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:tweets_ar_en_parallel/countryTopicAnnotation')
- विवरण :
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.
- लाइसेंस : कोई ज्ञात लाइसेंस नहीं
- संस्करण : 1.0.0
- विभाजन :
| विभाजित करना | उदाहरण |
|---|---|
'test' | 200 |
- विशेषताएँ :
{
"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"
}
}