An orchestrator for Bohrium datasets supporting resumable multi-gigabyte uploads, multi-version management, and seamless environment mounting.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bohrium-dataset
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install bohrium-dataset using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Bohrium Dataset Management?
The Bohrium Dataset Management skill enables developers and data scientists to manage cloud-based datasets natively from their environments. By integrating this capability with Openclaw Skills, teams can automate complex data preparation pipelines, manage dataset versioning, and interface with the open.bohrium.com API or the bohr command-line utility. This eliminates manual file handling, enabling efficient and reproducible machine learning runs.
Using this skill solves major bottlenecks such as size limit constraints on web uploads, interrupted transfers, and redundant uploads across multiple compute jobs. Datasets created with this tool can be mounted directly onto compute jobs, dev nodes, and Jupyter Notebook environments, streamlining high-performance workflows.
Bohrium Dataset Management Use Cases
- Avoiding Redundant Uploads: Eliminate the need to upload identical input files repeatedly across multiple compute jobs by mounting reusable datasets.
- Resilient Uploads of Large Files: Execute resumable dataset uploads without size limitations, recovering gracefully from network interruptions.
- Collaborative Research: Share dataset read/write permissions at the project level to collaborate across teams.
- Multi-Version Tracking: Keep a history of immutable dataset versions for auditability and reproducible scientific experiments.
- Notebook Integration: Access large remote files instantly in notebook environments without manually downloading data.
How Bohrium Dataset Management Works
- Installation & Authentication: Installs the bohr CLI and authenticates securely via an Access Key stored in environmental variables.
- Dataset Creation: The user initiates a dataset upload pointing to local directories. Large datasets leverage the bohr CLI for chunked, resumable transfers.
- Version Assignment: The system generates unique, immutable versions (e.g.,
/bohr/my-dataset/v1) to prevent accidental overwrites. - Compute Mount: Active jobs, dev nodes, or notebook environments mount the dataset using its unique path, adding zero-copy file system access with minimal boot overhead.
- Life Cycle Management: Owners can safely list, edit permissions, track storage quotas, or delete outdated dataset versions to optimize costs.
Bohrium Dataset Management Setup
1. Install bohr CLI
Install the compatible bohr CLI client based on your operating system:
macOS:
/bin/bash -c "$(curl -fsSL https://dp-public.oss-cn-beijing.aliyuncs.com/bohrctl/1.0.0/install_bohr_mac_curl.sh)"
Linux:
/bin/bash -c "$(curl -fsSL https://dp-public.oss-cn-beijing.aliyuncs.com/bohrctl/1.0.0/install_bohr_linux_curl.sh)"
source ~/.bashrc && export PATH="$HOME/.bohrium:$PATH"
export OPENAPI_HOST=https://open.bohrium.com
2. Configure Authentication
Add the integration config with your Access Key:
"bohrium-dataset": {
"enabled": true,
"apiKey": "YOUR_ACCESS_KEY",
"env": { "ACCESS_KEY": "YOUR_ACCESS_KEY" }
}
Bohrium Dataset Management Data Schema & Taxonomy
CLI JSON Fields
When listing datasets via bohr dataset list -n 10 --json, the response returns records with the following fields:
| Field Name | Type | Description |
|---|---|---|
id |
String / Integer | Unique identifier of the dataset |
title |
String | User-facing display name of the dataset |
path |
String | Absolute mount path (e.g., /bohr/my-dataset/v1) |
projectName |
String | Name of the associated Bohrium project |
creatorName |
String | Username of the creator |
updateTime |
String | ISO timestamp of the last modification |
desc |
String | Narrative description of the dataset |
Dataset Lifecycle Status Codes
Datasets maintain progress flags via API:
| Status Code | Meaning |
|---|---|
1 |
Creating or uncommitted status |
2 |
Committed and available for active mounting |
Bohrium Dataset Management Advanced Features
- Resumable CLI Uploads: Overcome flaky connections. The
bohr dataset createworkflow prompts to resume from break points automatically upon retry. - Job Manifest Orchestration: Directly mount datasets to scale model training by injecting the resource path into the
job.jsoncompute manifest. - Quota & Usage Audits: Utilize built-in REST API utilities to programmatically check project storage limits and consumption metrics before orchestrating massive batch uploads.
- Granular Permission Model: Segment access by separating 'Manageable' (creators, admins) and 'Usable' (project collaborators) permissions.
- Programmatic Version Control: Generate new, immutable data versions via API, permitting systematic rollbacks and audit trails in production lines.
SKILL.md
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