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Dataset

2025 Challenge Demos

Name: 2025 Challenge Demos
Creator: Behavior 1k
License: MIT

by Behavior 1k hf-dataset--behavior-1k--2025-challenge-demos

Nexus Index

36.9 Top 100%

S: Semantic 50

A: Authority 0

P: Popularity 60

R: Recency 48

Q: Quality 30

Tech Context

Vital Performance

0 DL / 30D

0.0%

Source →

Data Integrity 36.9 FNI Score

- Size

- Rows

Parquet Format

- Tokens

Dataset Information Summary
Entity Passport
Registry ID	hf-dataset--behavior-1k--2025-challenge-demos
License	MIT
Provider	huggingface

📜

Cite this dataset

Academic & Research Attribution

BibTeX

@misc{hf_dataset__behavior_1k__2025_challenge_demos,
  author = {Behavior 1k},
  title = {2025 Challenge Demos Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/behavior-1k/2025-challenge-demos}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}

APA Style

Behavior 1k. (2026). 2025 Challenge Demos [Dataset]. Free2AITools. https://huggingface.co/datasets/behavior-1k/2025-challenge-demos

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Nexus Index V2.0

Methodology Index Protocol

36.9

TOP 100% SYSTEM IMPACT

Semantic (S) 50

Authority (A) 0

Popularity (P) 60

Recency (R) 48

Quality (Q) 30

💬 Index Insight

FNI V2.0 for 2025 Challenge Demos: Semantic (S:50), Authority (A:0), Popularity (P:60), Recency (R:48), Quality (Q:30).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit

Unbiased Data Node Refresh: VFS Live

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Downloads

149,574

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Schema structure is shown in the Field Logic panel when available.

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🧬 Field Logic

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Schema not yet indexed for this dataset.

Dataset Specification

This dataset was created using LeRobot.

Dataset Description

Homepage: [More Information Needed]
Paper: [More Information Needed]
License: mit

Dataset Structure

meta/info.json:

json

{
    "codebase_version": "v2.1",
    "robot_type": "R1Pro",
    "total_episodes": 10000,
    "total_frames": 119094660,
    "total_tasks": 50,
    "total_videos": 90000,
    "chunks_size": 10000,
    "fps": 30,
    "splits": {
        "train": "0:10000"
    },
    "data_path": "data/task-{episode_chunk:04d}/episode_{episode_index:08d}.parquet",
    "video_path": "videos/task-{episode_chunk:04d}/{video_key}/episode_{episode_index:08d}.mp4",
    "metainfo_path": "meta/episodes/task-{episode_chunk:04d}/episode_{episode_index:08d}.json",
    "annotation_path": "annotations/task-{episode_chunk:04d}/episode_{episode_index:08d}.json",
    "features": {
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        "observation.images.seg_instance_id.left_wrist": {
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        "observation.images.seg_instance_id.right_wrist": {
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                "video.width": 480,
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                "video.is_depth_map": false,
                "has_audio": false
            }
        },
        "observation.images.seg_instance_id.head": {
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        "action": {
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            "names": null
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        "timestamp": {
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            "shape": [
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            "names": null
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        "episode_index": {
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        "index": {
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            "names": null
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        "observation.cam_rel_poses": {
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        "observation.state": {
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        "observation.task_info": {
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        }
    }
}

Citation

BibTeX:

bibtex

@article{li2024behavior, 
  title={Behavior-1k: A human-centered, embodied ai benchmark with 1,000 everyday activities and realistic simulation}, 
  author={Li, Chengshu and Zhang, Ruohan and Wong, Josiah and Gokmen, Cem and Srivastava, Sanjana and Mart{'i}n-Mart{'i}n, Roberto and Wang, Chen and Levine, Gabrael and Ai, Wensi and Martinez, Benjamin and Yin, Hang and Lingelbach, Michael and Hwang, Minjune and Hiranaka, Ayano and Garlanka, Sujay and Aydin, Arman and Lee, Sharon and Sun, Jiankai and Anvari, Mona and Sharma, Manasi and Bansal, Dhruva and Hunter, Samuel and Kim, Kyu-Young and Lou, Alan and Matthews, Caleb R. and Villa-Renteria, Ivan and Tang, Jerry Huayang and Tang, Claire and Xia, Fei and Li, Yunzhu and Savarese, Silvio and Gweon, Hyowon and Liu, C. Karen and Wu, Jiajun and Fei-Fei, Li}, 
  journal={arXiv preprint arXiv:2403.09227}, 
  year={2024} 
}

Social Proof

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AI Summary: Based on Hugging Face metadata. Not a recommendation.

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🛡️ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: hf-dataset--behavior-1k--2025-challenge-demos
slug: behavior-1k--2025-challenge-demos
source: huggingface
author: Behavior 1k
license: MIT
tags: task_categories:robotics, license:mit, modality:video, arxiv:2403.09227, doi:10.57967/hf/6394, region:us, lerobot, v, 2, ., 1

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
pipeline tag

📊 Engagement & Metrics

downloads: 149,574
stars: 33
forks: 0

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