fra
Datasets
All datasets matching “fra”fractal20220817_data_lerobotThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "google_robot",
"total_episodes": 87212,
"total_frames": 3786400,
"total_tasks": 599,
"total_videos": 87212,
"total_chunks": 88,
"chunks_size": 1000,
"fps": 3,
"splits": {
"train": "0:87212"
},
"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/IPEC-COMMUNITY/fractal20220817_data_lerobot.IndEgo
IndEgo: A Dataset of Industrial Scenarios and Collaborative Work for Egocentric Assistants
Vivek Chavan¹²*, Yasmina Imgrund²†, Tung Dao²†, Sanwantri Bai³†, Bosong Wang⁴†, Ze Lu⁵†, Oliver Heimann¹, Jörg Krüger¹²
¹Fraunhofer IPK, Berlin ²Technical University of Berlin ³University of Tübingen
⁴RWTH Aachen University ⁵Leibniz University Hannover
*Project Lead †Work done during student theses/projects at Fraunhofer IPK… See the full description on the dataset page: https://huggingface.co/datasets/FraunhoferIPK/IndEgo.Lucie-Training-Dataset
Lucie Training Dataset Card
The Lucie Training Dataset is a curated collection of text data
in English, French, German, Spanish and Italian culled from a variety of sources including: web data, video subtitles, academic papers,
digital books, newspapers, and magazines, some of which were processed by Optical Character Recognition (OCR). It also contains samples of diverse programming languages.
The Lucie Training Dataset was used to pretrain Lucie-7B,
a foundation LLM with… See the full description on the dataset page: https://huggingface.co/datasets/OpenLLM-France/Lucie-Training-Dataset.quantum-like-attention-framework-1.3b-untuned-validation
Quantum Like Attention Framework (Q.L.A.F) 1.3b untuned
This repository contains the model checkpoints, downstream evaluation scores, and pretraining convergence logs for the Quantum Like Attention Framework (Q.L.A.F) 1.3B configuration.
Key Specifications & Architecture
Model Name: Q.L.A.F 1.3b untuned (Quantum Like Attention Framework - Hybrid Architecture)
Parameters: 1.3B parameters total configuration (327M active parameter student subset)
Layer Count: 12… See the full description on the dataset page: https://huggingface.co/datasets/IgnisCogitationis/quantum-like-attention-framework-1.3b-untuned-validation.fractal_rawChatGPT-Jailbreak-Prompts
