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--- |
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pretty_name: OpenToolTrace-X (Platinum) |
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language: |
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- en |
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license: apache-2.0 |
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task_categories: |
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- text-generation |
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- question-answering |
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- reinforcement-learning |
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tags: |
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- agents |
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- tool-use |
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- trajectories |
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- verification |
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- code |
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- bash |
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- git |
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size_categories: |
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- n<1K |
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dataset_info: |
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creator: "Within US AI" |
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contact: "Within US AI" |
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created: "2025-12-30T16:53:41Z" |
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schema: "See Features section below" |
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--- |
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# OpenToolTrace-X (Platinum) |
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**Developer/Publisher:** Within US AI |
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**Version:** 0.1.0 (sample pack) |
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**Created:** 2025-12-30T16:53:41Z |
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## What this dataset is |
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`OpenToolTrace-X` is a **replayable, verifiable** corpus of tool-using agent trajectories. |
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Each record contains: |
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- A user goal (`prompt`) and constraints |
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- An `initial_state` describing the starting environment/repo snapshot |
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- A `trajectory` (tool calls + observations) |
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- A `final_state` (artifacts/diff/output) |
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- `verification` (tests, checksums, exit codes) to make outcomes **machine-checkable** |
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## Features / schema (JSONL) |
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- `task_id` (string) |
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- `domain` (string; e.g., `python`, `bash`, `git`, `data`) |
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- `difficulty` (int; 1–5) |
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- `prompt` (string) |
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- `constraints` (string) |
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- `initial_state` (object) |
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- `trajectory` (list of objects) |
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- `final_state` (object) |
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- `verification` (object) |
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- `tags` (list of strings) |
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- `created_utc` (string; ISO 8601) |
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- `license_note` (string) |
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### Trajectory step format |
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Each step is a dict: |
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- `tool` (e.g., `bash`, `python`, `git`) |
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- `action` (command / code / args) |
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- `observation` (stdout / structured output) |
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- `exit_code` (int) |
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- `stderr` (string, optional) |
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- `artifacts_written` (list of strings, optional) |
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## Data splits |
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- `data/train.jsonl` |
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- `data/validation.jsonl` |
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- `data/test.jsonl` |
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## Replay harness (scaffold) |
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See `replay_harness/` for a safe, non-executing replay viewer. |
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Integrate your own sandbox executor for real replays. |
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## How to load |
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```python |
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from datasets import load_dataset |
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ds = load_dataset("json", data_files={ |
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"train": "data/train.jsonl", |
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"validation": "data/validation.jsonl", |
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"test": "data/test.jsonl", |
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}) |
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print(ds["train"][0]) |
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``` |
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