PEFT
Safetensors
Bashkir
bashkir
low-resource
agglutinative
qlora
cpt
llm-as-judge
classification
language-modeling
benchmark
Instructions to use BashkirNLPWorld/bashkir-nlp-benchmark with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BashkirNLPWorld/bashkir-nlp-benchmark with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download splits/binary/metadata.json from BashkirNLPWorld/bashkir-nlp-benchmark: direct link, hf CLI and curl.
- Browser
- Download file 536 Bytes
-
https://huggingface.co/BashkirNLPWorld/bashkir-nlp-benchmark/resolve/main/splits/binary/metadata.json
- Command line
-
hf download hf://BashkirNLPWorld/bashkir-nlp-benchmark/splits/binary/metadata.json
-
curl -L -o metadata.json https://huggingface.co/BashkirNLPWorld/bashkir-nlp-benchmark/resolve/main/splits/binary/metadata.json
536 Bytes
| { | |
| "task": "binary", | |
| "created_at": "2026-10-09T19:04:18.020737", | |
| "preset": "paper", | |
| "seed": 42, | |
| "settings": { | |
| "TOTAL_SAMPLES": null, | |
| "DATA_FRACTION": 1.0, | |
| "TRAIN_FRACTION": 0.8, | |
| "VAL_FRACTION": 0.1, | |
| "TEST_FRACTION": 0.1 | |
| }, | |
| "sizes": { | |
| "train": 13595, | |
| "validation": 1698, | |
| "test": 1701 | |
| }, | |
| "columns": [ | |
| "content", | |
| "title", | |
| "label", | |
| "label_text", | |
| "category", | |
| "content_length", | |
| "resource", | |
| "date" | |
| ], | |
| "source_dataset": "BashkirNLPWorld/bashkir-news-binary" | |
| } |