তথ্যসূত্র:
প্লেইন_টেক্সট
TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:
ds = tfds.load('huggingface:lambada/plain_text')
- বর্ণনা :
The LAMBADA evaluates the capabilities of computational models
for text understanding by means of a word prediction task.
LAMBADA is a collection of narrative passages sharing the characteristic
that human subjects are able to guess their last word if
they are exposed to the whole passage, but not if they
only see the last sentence preceding the target word.
To succeed on LAMBADA, computational models cannot
simply rely on local context, but must be able to
keep track of information in the broader discourse.
The LAMBADA dataset is extracted from BookCorpus and
consists of 10'022 passages, divided into 4'869 development
and 5'153 test passages. The training data for language
models to be tested on LAMBADA include the full text
of 2'662 novels (disjoint from those in dev+test),
comprising 203 million words.
- লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
- সংস্করণ : 1.1.0
- বিভাজন :
বিভক্ত | উদাহরণ |
---|---|
'test' | 5153 |
'train' | 2662 |
'validation' | 4869 |
- বৈশিষ্ট্য :
{
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"domain": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}