📊

Dataset

Aloha Sim Insertion Scripted

Name: Aloha Sim Insertion Scripted
Creator: lerobot
License: MIT

by lerobot hf-dataset--lerobot--aloha_sim_insertion_scripted

Free2AITools Nexus Index

50.0 Top 100%

S: Semantic 50

A: Authority 41

P: Popularity 50

R: Recency 66

Q: Quality 50

Tech Context

Vital Performance

0 DL / 30D

0.0%

Source →

Data Integrity 50 FNI Score

- Size

- Rows

Parquet Format

- Tokens

Dataset Information Summary
Entity Passport
Registry ID	hf-dataset--lerobot--aloha_sim_insertion_scripted
License	MIT
Provider	huggingface

📜

Cite this dataset

Academic & Research Attribution

BibTeX

@misc{hf_dataset__lerobot__aloha_sim_insertion_scripted,
  author = {lerobot},
  title = {Aloha Sim Insertion Scripted Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/lerobot/aloha_sim_insertion_scripted}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}

APA Style

lerobot. (2026). Aloha Sim Insertion Scripted [Dataset]. Free2AITools. https://huggingface.co/datasets/lerobot/aloha_sim_insertion_scripted

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology Index Protocol

Semantic (S) 50

Authority (A) 41

Popularity (P) 50

Recency (R) 66

Quality (Q) 50

💬 Index Insight

FNI V2.0 for Aloha Sim Insertion Scripted: Semantic (S:50), Authority (A:41), Popularity (P:50), Recency (R:66), Quality (Q:50).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit

Unbiased Data Node Refresh: VFS Live

⬇️

Downloads

24,440

👁️ Data Preview

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Row-level preview not available for this dataset.

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

🔗 Explore Full Dataset ↗

🧬 Field Logic

🧬

Schema not yet indexed for this dataset.

Dataset Specification

This dataset was created using LeRobot.

Dataset Description

Homepage: https://tonyzhaozh.github.io/aloha/
Paper: https://arxiv.org/abs/2304.13705
License: mit

Dataset Structure

meta/info.json:

json

{
    "codebase_version": "v2.0",
    "robot_type": "aloha",
    "total_episodes": 50,
    "total_frames": 20000,
    "total_tasks": 1,
    "total_videos": 50,
    "total_chunks": 1,
    "chunks_size": 1000,
    "fps": 50,
    "splits": {
        "train": "0:50"
    },
    "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
    "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
    "features": {
        "observation.images.top": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channel"
            ],
            "video_info": {
                "video.fps": 50.0,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "has_audio": false
            }
        },
        "observation.state": {
            "dtype": "float32",
            "shape": [
                14
            ],
            "names": {
                "motors": [
                    "left_waist",
                    "left_shoulder",
                    "left_elbow",
                    "left_forearm_roll",
                    "left_wrist_angle",
                    "left_wrist_rotate",
                    "left_gripper",
                    "right_waist",
                    "right_shoulder",
                    "right_elbow",
                    "right_forearm_roll",
                    "right_wrist_angle",
                    "right_wrist_rotate",
                    "right_gripper"
                ]
            }
        },
        "action": {
            "dtype": "float32",
            "shape": [
                14
            ],
            "names": {
                "motors": [
                    "left_waist",
                    "left_shoulder",
                    "left_elbow",
                    "left_forearm_roll",
                    "left_wrist_angle",
                    "left_wrist_rotate",
                    "left_gripper",
                    "right_waist",
                    "right_shoulder",
                    "right_elbow",
                    "right_forearm_roll",
                    "right_wrist_angle",
                    "right_wrist_rotate",
                    "right_gripper"
                ]
            }
        },
        "episode_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "frame_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "timestamp": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": null
        },
        "next.done": {
            "dtype": "bool",
            "shape": [
                1
            ],
            "names": null
        },
        "index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "task_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        }
    }
}

Citation

BibTeX:

bibtex

@article{Zhao2023LearningFB,
    title={Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware},
    author={Tony Zhao and Vikash Kumar and Sergey Levine and Chelsea Finn},
    journal={RSS},
    year={2023},
    volume={abs/2304.13705},
    url={https://arxiv.org/abs/2304.13705}
}

📊 Structured Schema (Zero-Fabrication)

Feature Key	Data Type
`observation.state`	`unknown`
`action`	`unknown`
`episode_index`	`int64`
`frame_index`	`int64`
`timestamp`	`float32`
`next.done`	`bool`
`index`	`int64`
`task_index`	`int64`

Estimated Rows: 20,000

Social Proof

HuggingFace Hub

24.4KDownloads

Hub Discussions

🤗 Data Source: Hugging Face ↗

🔄 Daily sync (03:00 UTC)

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

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: hf-dataset--lerobot--aloha_sim_insertion_scripted
slug: lerobot--aloha_sim_insertion_scripted
source: huggingface
author: lerobot
license: MIT
tags: task_categories:robotics, license:mit, size_categories:10k<n<100k, format:parquet, modality:tabular, modality:timeseries, modality:video, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:2304.13705, region:us, lerobot, aloha

⚙️ Technical Specs

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

📊 Engagement & Metrics

downloads: 24,440
stars: 0
forks: null

Data indexed from public sources. Updated daily.