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OpenLoong/koch_Close_the_box_10_episodes

published by @OpenLoong

Alignment dataset tracked in the /datasets sub-catalog.

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Size
12.8 MB
Created on HF
2025-02-27
Age
1 years ago

Description

Dataset: Koch Close the Box - 10 Episodes

OverviewA second set of 10 episodes for the "Close the Box" task, providing additional trials for reproducibility and variance analysis.

Usage

Compare with the first dataset to study task consistency.

Use for training or benchmarking closed-loop control policies.

Notes

Independent from the first 10 episodes (same task, different runs).

Identical data structure to the original "Close the Box" set.

Key Features:… See the full description on the dataset page: https://huggingface.co/datasets/OpenLoong/koch_Close_the_box_10_episodes.

Tags

size_categories:n<1Kmodality:videolibrary:datasetslibrary:mlcroissantregion:us

README current version from Hugging Face

Dataset: Koch Close the Box - 10 Episodes

Overview
A second set of 10 episodes for the "Close the Box" task, providing additional trials for reproducibility and variance analysis.

Usage

  • Compare with the first dataset to study task consistency.
  • Use for training or benchmarking closed-loop control policies.

Notes

  • Independent from the first 10 episodes (same task, different runs).
  • Identical data structure to the original "Close the Box" set.

Key Features:

  • Consistency: Follows the original "Put Tape into Box" template.
  • Clarity: Clearly separates the two "Close the Box" sets if both are needed.
  • Brevity: Omits file structure but retains critical usage notes.

README history 5 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

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  5. 2025-02-27initial commit9efbd0f0 B
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Repository

Download the dataset

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Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("OpenLoong/koch_Close_the_box_10_episodes")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="OpenLoong/koch_Close_the_box_10_episodes", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/OpenLoong/koch_Close_the_box_10_episodes
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