finetuner
CEFR_Mixed_Dataset_1CEFR_Mixed_Dataset_A1_A2_sisa
CEFR Dataset for A1 and A2
This dataset combines original CEFR-level sentences from training, validation, and test sets with synthetic sentences generated by a fine-tuned LLaMA-3-8B model for CEFR levels A1 (2000 sentences) and A2 (100 sentences). Synthetic sentences were validated using a fine-tuned MLP classifier (~93% accuracy) to ensure the predicted CEFR level is within 1 level of the intended level (e.g., A1 accepts A1, A2; A2 accepts A1, A2, B1). Duplicate sentences were… See the full description on the dataset page: https://huggingface.co/datasets/Mr-FineTuner/CEFR_Mixed_Dataset_A1_A2_sisa.Finetune-RAG
Finetune-RAG Dataset
This dataset is part of the Finetune-RAG project, which aims to tackle hallucination in retrieval-augmented LLMs. It consists of synthetically curated and processed RAG documents that can be utilised for LLM fine-tuning.
Each line in the finetunerag_dataset.jsonl file is a JSON object:
{
"content": "<correct content chunk retrieved>",
"filename": "<original document filename>",
"fictitious_filename1":"<filename of fake doc 1>",
"fictitious_content1":… See the full description on the dataset page: https://huggingface.co/datasets/pints-ai/Finetune-RAG.finetune_red_100This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 40,
"total_frames": 8968,
"total_tasks": 1,
"total_videos": 80,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:40"
},
"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/radiuson/finetune_red_100.CEFR_Mixed_Dataset_4090GPUe621-rising-v3-finetuner
NSFW
This dataset is not suitable for use by minors. The dataset contains X-rated/NFSW content.
For Finetuning Only
Unless you are running a finetuning run, you should use the curated V3 dataset.