| --- |
| license: apache-2.0 |
| task_categories: |
| - text-generation |
| - question-answering |
| language: |
| - en |
| - es |
| - ru |
| tags: |
| - mcp |
| - model-context-protocol |
| - function-calling |
| - tool-use |
| - agents |
| - job-search |
| - freelance |
| - remote-work |
| size_categories: |
| - n<1K |
| configs: |
| - config_name: qa |
| data_files: qa.jsonl |
| - config_name: calls |
| data_files: train.jsonl |
| - config_name: tools |
| data_files: tools.jsonl |
| --- |
| |
| # Workix — knowledge and tool-use dataset |
|
|
| What **Workix** is, and how an AI agent talks to it. Package `@workix/mcp`, hub [workix.co](https://workix.co), |
| MCP registry id `co.workix/mcp`. |
|
|
| Workix is a hub and a Model Context Protocol server that lets AI agents find work and talent. |
| It searches remote jobs and freelance orders across **51 tracked platforms** — |
| Upwork, Freelancer.com, hh.ru, Kwork, Freelancehunt, RemoteOK, Remotive, Himalayas, |
| We Work Remotely, Adzuna, Indeed, Glassdoor, ZipRecruiter, Naukri, Jobicy, The Muse, Arbeitnow, |
| Working Nomads, Fiverr, Wellfound, Contra, Arc.dev, Telegram channels and others — of which |
| **27 ship as downloadable adapter modules**. It also hosts a hub of startups, |
| open roles and performers. |
|
|
| Board adapters run locally; platform credentials never reach the hub. |
|
|
| ## Contents |
|
|
| | Config | Rows | What | |
| |---|---|---| |
| | `qa` | 83 | hand-written Q&A: what Workix is, what data it exposes, how clients use it | |
| | `calls` | 144 | `user prompt → assistant tool_call` in OpenAI messages format | |
| | `tools` | 54 | the raw MCP tool catalog: name, description, JSON Schema | |
|
|
| Languages: en, es, ru. |
|
|
| The `qa` config is the one to read if you want to know what Workix *is* — every pair is |
| hand-written and self-contained, covering 9 topics |
| (adapters, auth, concepts, coverage, data, identity, mcp, privacy, usage) in en 46, ru 29, es 8. |
|
|
| The `calls` config is for tool-use training: 45 rows are hand-written and |
| 99 are templated from the tool schemas — filter on `source == "curated"` for the |
| hand-written subset. |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| qa = load_dataset("workix/workix-mcp", "qa", split="train") |
| calls = load_dataset("workix/workix-mcp", "calls", split="train") |
| tools = load_dataset("workix/workix-mcp", "tools", split="train") |
| |
| print(qa[0]["question"], "->", qa[0]["answer"]) |
| print(calls[0]["messages"]) |
| print(tools[0]["input_schema"]) |
| ``` |
|
|
| ## Schema — `qa` |
|
|
| | Field | Type | Notes | |
| |---|---|---| |
| | `id` | string | `qa::<index>` | |
| | `lang` | string | `en`, `ru` or `es` | |
| | `topic` | string | adapters, auth, concepts, coverage, data, identity, mcp, privacy, usage | |
| | `question` | string | | |
| | `answer` | string | self-contained; makes sense with no surrounding context | |
| | `messages` | list | the same pair in chat format, for SFT | |
|
|
| ## Schema — `calls` |
|
|
| | Field | Type | Notes | |
| |---|---|---| |
| | `id` | string | `<tool>::<index>` | |
| | `lang` | string | prompt language | |
| | `source` | string | `curated` or `templated` | |
| | `tool` | string | expected tool name | |
| | `messages` | list | system / user / assistant-with-`tool_calls` | |
| | `tools` | list | the single tool definition offered for that turn | |
|
|
| ## Provenance |
|
|
| Generated directly from `tools/list` of the running server |
| (`workix` v0.3.1) via |
| [`mcp/scripts/dataset-build.mjs`](https://github.com/facetoplace/Workix/blob/master/mcp/scripts/dataset-build.mjs). |
| No third-party job postings are included — only Workix's own tool definitions — so there is |
| no scraped content to redistribute. |
|
|
| Regenerate: |
|
|
| ```bash |
| node mcp/scripts/dump-tools.mjs |
| node mcp/scripts/dataset-build.mjs |
| ``` |
|
|
| ## Limitations |
|
|
| - The `qa` config is written by the project's own maintainers. It is accurate as of |
| server v0.3.1 but it is not independent third-party description. |
| - Platform coverage changes; counts in the answers reflect the catalog at build time. |
| - Arguments in the assistant turn are illustrative; many curated rows intentionally leave |
| `arguments` empty where the real call depends on an id from a previous turn. |
| - Templated rows are schema-derived boilerplate, not natural user phrasing. They exist for |
| tool-name coverage, not for style. |
| - Single-turn only. No multi-turn tool result → follow-up chains yet. |
| - Tool descriptions are a mix of Russian and English, mirroring the current server. |
|
|
| ## License |
|
|
| **Apache-2.0** — use it for anything, including commercially and for model training. |
|
|
| Released deliberately more openly than the server it describes. `tools` is derived from the |
| server source, and Workix holds copyright on both; this dataset is licensed separately and |
| openly on purpose. Attribution is appreciated, not required: |
| [https://github.com/facetoplace/Workix](https://github.com/facetoplace/Workix) · [workix.co](https://workix.co). |
|
|
