datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
bangladesh-law-professional
🇧🇩 Bangladesh Law Professional Dataset
A clean, instruction-tuned (Alpaca-style) question–answer dataset for
fine-tuning language models on Bangladesh law, in Bangla and English.
👤 Author & Contribution
Curated & built by
Sadat Sami (@Sadatsami)
Role
Dataset architect — collected, cleaned, filtered, reformatted and published
Motivation
Build a small-but-high-quality Bangla legal corpus to fine-tune a lightweight LLM (e.g. Qwen2.5-0.5B via… See the full description on the dataset page: https://huggingface.co/datasets/Sadatsami/bangladesh-law-professional.commonsense_qa
Usage
from datasets import load_dataset
dataset=load_dataset(
"Sadanto3933/commonsense_qa",
split="train",
)
# ...
Dataset Card for "commonsense_qa"
Dataset Summary
CommonsenseQA is a new multiple-choice question answering dataset that requires different types of commonsense knowledge
to predict the correct answers.
The dataset is provided in two major training/validation/testing set splits: "Random split" which is the main evaluation
split, and… See the full description on the dataset page: https://huggingface.co/datasets/Sadanto3933/commonsense_qa.ai2_arc
Dataset Card for "ai2_arc"
Usage
from datasets import load_dataset
dataset=load_dataset(
"Sadanto3933/ai2_arc",
"ARC-Challenge",
split="train",
)
# ...
Supported Tasks and Leaderboards
More Information Needed
Languages
More Information Needed
Dataset Structure
Data Instances
ARC-Challenge
An example of 'train' looks as follows.
{
"answerKey": "B",
"choices": {
"label": ["A", "B", "C"… See the full description on the dataset page: https://huggingface.co/datasets/Sadanto3933/ai2_arc.databricks-sft-15k