Skip to main content

OopsieData Tools

Oopsie Data: labs contribute real robot rollouts — failures, suboptimal, and successes — into a shared dataset.

Oopsie Data is an initative to build a large-scale dataset of real robot manipulation failures (along with other mixed-quality behaviors and successes). Oopsie Data Tools helps labs record, annotate, and contribute those rollouts instead of throwing them away.

Ready to contribute? Start with the Quickstart Guide.

For documentation, contribution instructions, and tooling guides, visit our website.


This repository currently provides tools for:

  • HDF5 episode recording (EpisodeRecorder)
  • Web annotation workflows
  • In-the-loop annotation during policy rollout

as well as all the necessary utilities to validate, inspect, and upload Oopsie-Data to the official repositories.

Need help integrating?

Open an issue if you need help adding Oopsie Tools recording to your eval pipeline. Include your robot platform, policy stack, and a pointer to your evaluation/inference code.

Metadata

Release files for oopsie-data-tools 0.9.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for oopsie-data-tools 0.9.3
File Size Uploaded
oopsie_data_tools-0.9.3.tar.gz 2.4 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for oopsie-data-tools 0.9.3
File Interpreter ABI Platform
oopsie_data_tools-0.9.3-py3-none-any.whl Python 3 none any Details

Total release size: 2.6 MB

Release files / oopsie_data_tools-0.9.3.tar.gz

Download URL oopsie_data_tools-0.9.3.tar.gz
Size 2.4 MB
Tags Source
SHA-256 checksum
How to use checksums
631e06ff777cb63f35446cb3770a537dbc11e2f1a92eb57a5fff639bb417af00
BLAKE2b-256 checksum
How to use checksums
2a530745209d71b751723a17303fe32312817d90559c20d9b4575bf16b5674bb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Aug 20, 2026.

Transparency log

Release files / oopsie_data_tools-0.9.3-py3-none-any.whl

Download URL oopsie_data_tools-0.9.3-py3-none-any.whl
Size 210.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
7e5c31b66b18f151602757a5fd8665e3f6c35db19d11ce557c3c73a9c9975d65
BLAKE2b-256 checksum
How to use checksums
66f6d273fbb403f8bed65985387961f1c5722d2a54c83c23ed8a181934324386
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Aug 20, 2026.

Transparency log

Release history Release notifications | RSS feed

1.1.0

2 release files

1.0.1

2 release files

1.0.0

2 release files

This release

0.9.3 This release

2 release files

0.9.2

2 release files

0.9.1

2 release files

0.9

2 release files

0.3

2 release files

0.2.2

2 release files

0.2.1

2 release files

0.2.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page