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Datasets
All datasets matching “bit”HIW-500
HIW-500: Humanoids In-the-Wild Dataset
https://bitrobot-foundation.github.io/humanoids-in-the-wild-500-hours/
HIW-500: Humanoids In-the-Wild Dataset is a large-scale dataset for whole-body humanoid robot learning in natural home environments. It captures human teleoperation demonstrations on Unitree G1 across real homes in Southeast Asia, where layouts, object states, lighting, clutter, and operator styles vary from episode to episode.
The dataset is designed for research on… See the full description on the dataset page: https://huggingface.co/datasets/BitRobot/HIW-500.bite-baseline
bite-baseline — artifacts for extreme (ternary) quantization of Qwen3.6-35B-A3B
Companion dataset for ihavespoons/bite — an open
pipeline for compressing a Mixture-of-Experts LLM (Qwen/Qwen3.6-35B-A3B, 35B total / ~3B
active, 256 experts) toward ternary {-1,0,+1} weights (1.71 bpw) via PTQ init +
quantization-aware distillation. See the repo's docs/report-extreme-quant-moe.md for the
full technical report.
Contents
Path
What it is
baseline.json… See the full description on the dataset page: https://huggingface.co/datasets/ihavespoons/bite-baseline.HIW-500-LeRobotThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"observation.images.head": {
"dtype": "video",
"shape": [
480,
1280,
3
],
"names": [
"height",
"width",
"channels"
],
"info": {
"video.height":… See the full description on the dataset page: https://huggingface.co/datasets/BitRobot/HIW-500-LeRobot.Bitext-customer-support-llm-chatbot-training-dataset
Bitext - Customer Service Tagged Training Dataset for LLM-based Virtual Assistants
Overview
This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the Customer Support sector can be easily achieved using our two-step approach to LLM… See the full description on the dataset page: https://huggingface.co/datasets/bitext/Bitext-customer-support-llm-chatbot-training-dataset.tool_callingffhq-256
