datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
multidomain-kazakh-dataset
Dataset Description
Point of Contact: Sanzhar Murzakhmetov, Besultan Sagyndyk
Dataset Summary
MDBKD | Multi-Domain Bilingual Kazakh Dataset is a Kazakh-language dataset containing just over 24 883 808 unique texts from multiple domains.
Supported Tasks
'MLM/CLM': can be used to train a model for casual and masked languange modeling
Languages
The kk code for Kazakh as generally spoken in the Kazakhstan
Data Instances
For each instance… See the full description on the dataset page: https://huggingface.co/datasets/kz-transformers/multidomain-kazakh-dataset.transformers_documentation_entest-transformers-pipeline
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/iulusoy/test-transformers-pipeline.NyayaAnumana-Transformers-Resultstransformers_dump_urlatm-data-transformerstransformers_dump_mdtransformers_HuggingfaceTransformersReview
TransformersReview
tags: sentiment, library, python
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'TransformersReview' dataset comprises user reviews and sentiment analysis of the 'transformers' library by Hugging Face, a leading AI library for NLP tasks. Each review is labeled with sentiment scores to facilitate training machine learning models for sentiment analysis. The labels are binary (0 for negative, 1 for positive)… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/TransformersReview.dataset-review-produk-untuk-pretrain-model-transformers