huihui
Datasets
All datasets matching “huihui”healthbenchGuilherme34_uncensor
huihui-ai/Guilherme34_uncensor
This dataset is a copy of Guilherme34/uncensor
This dataset is used for fine-tuning of huihui-ai/gemma-3-1b-it-abliterated,
please refer to GRPO with Unsloth.
Usage
from datasets import Dataset
import json
# Define the system prompt that instructs the model to use a specific format
SYSTEM_PROMPT = """
Respond in the following format:
<reasoning>
...
</reasoning>
<answer>
...
</answer>
"""
def get_harmful_questions(split="train"… See the full description on the dataset page: https://huggingface.co/datasets/huihui-ai/Guilherme34_uncensor.details_huihui-ai__Qwen2.5-7B-Instruct-abliterated
Dataset Card for Evaluation run of huihui-ai/Qwen2.5-7B-Instruct-abliterated
Dataset automatically created during the evaluation run of model huihui-ai/Qwen2.5-7B-Instruct-abliterated.
The dataset is composed of 136 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_huihui-ai__Qwen2.5-7B-Instruct-abliterated.details_huihui-ai__DeepSeek-R1-Distill-Qwen-32B-abliterated
Dataset Card for Evaluation run of huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated
Dataset automatically created during the evaluation run of model huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated.
The dataset is composed of 136 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_huihui-ai__DeepSeek-R1-Distill-Qwen-32B-abliterated.s50K
huihui-ai/s50K
This dataset comes from the automatic collection in simplescaling/s1's data/collect_data.py, It may be necessary to replace 'simplescaling/numinamath_500' with 'qfq/numinamath_500' in the file.
eval_act_so101_test_50move02This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101",
"total_episodes": 10,
"total_frames": 16068,
"total_tasks": 1,
"total_videos": 20,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:10"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/huihui060124/eval_act_so101_test_50move02.