| --- |
| license: apache-2.0 |
| language: |
| - en |
| task_categories: |
| - text-generation |
| tags: |
| - tool-use |
| - trajectories |
| - supervised-fine-tuning |
| configs: |
| - config_name: semantic_candidates |
| data_files: |
| - split: train |
| path: data/*.jsonl.gz |
| --- |
| |
| # Trajectory2Gym: decision-grounded candidate interactions |
|
|
| This release contains **34,772 complete, policy-visible candidate interactions** for tool-use post-training, stored in seven compressed JSONL shards. These are semantic parents, not rendered children or a final scale-specific training view. |
|
|
| | Source | Interactions | |
| |---|---:| |
| | bfcl | 17282 | |
| | tau1 | 11411 | |
| | tau2 | 6079 | |
|
|
| ## Model checkpoints |
|
|
| Download the five corresponding Trajectory2Gym paper checkpoints: |
|
|
| | Scale | Model repository | |
| |---|---| |
| | 1.7B | [Trajectory2Gym-1.7B](https://huggingface.co/mis2/Trajectory2Gym-1.7B) | |
| | 4B | [Trajectory2Gym-4B](https://huggingface.co/mis2/Trajectory2Gym-4B) | |
| | 8B | [Trajectory2Gym-8B](https://huggingface.co/mis2/Trajectory2Gym-8B) | |
| | 14B | [Trajectory2Gym-14B](https://huggingface.co/mis2/Trajectory2Gym-14B) | |
| | 30B-A3B | [Trajectory2Gym-30B-A3B](https://huggingface.co/mis2/Trajectory2Gym-30B-A3B) | |
|
|
| Each model repository contains native tokenizers, chat templates, model cards, licenses, and release checksums. The candidate corpus below is not the rendered scale-specific training data; the 30B-A3B model uses an expanded corpus. |
|
|
| ## Record format |
|
|
| Records preserve native messages, tool definitions, supervised assistant-turn indices, context-turn counts, and stable source identities. The supervision mask selects assistant decisions; user/tool messages and masked failed actions can remain visible context. |
|
|
| Operational source paths and non-allowlisted top-level collection metadata are omitted. Dialogue content, native tool arguments, tool definitions, and supervision indices were checked against every original record, including nested dictionary ordering. |
|
|
| ## Loading |
|
|
| Native tool schemas and argument values are heterogeneous. Use a JSONL reader rather than assuming all records can be inferred as one flat Arrow schema. |
|
|
| ~~~python |
| import gzip, json |
| from huggingface_hub import hf_hub_download |
| |
| path = hf_hub_download('mis2/Trajectory2gym', 'data/train-00000.jsonl.gz', repo_type='dataset') |
| with gzip.open(path, 'rt', encoding='utf-8') as f: |
| for line in f: |
| interaction = json.loads(line) |
| # interaction['messages'], interaction['supervised_assistant_turn_indices'] |
| ~~~ |
|
|
| ## Scope and provenance |
|
|
| The source is the frozen training-side candidate corpus. Tau1 Airline uses the disclosed seen-task construction/evaluation scope. Tau2 construction uses its official train partition. This release does not assert template-level separation, and it is not the current upstream benchmark test distribution. The 30B-A3B study uses an expanded corpus, not this common pool alone. |
|
|
| Source input SHA-256: a65a690aeb21a8e28c1865607dff93a10cbb1c311c5a7beacf0e58ed3eb94e23 |
|
|
| See provenance.json and RELEASE_MANIFEST.json for the transformation and file hashes. Exported bytes differ from the historical source file. Native reset states and all execution certificates are not included, so these files are not a standalone environment replay package. |
| |
| ## Content checks |
| |
| Credential patterns, internal-host strings, and operational paths were checked. Benchmark-native simulated address literals and a generic path placeholder were retained through an exact-value-hash review bound to the source hash; see NATIVE_LITERAL_REVIEW.json. That review is not an independent human PII audit. Native fixture entities are retained to preserve observation-to-action dependencies. |
| |
| ## License and attribution |
| |
| Released under Apache-2.0 with the upstream MIT and Apache-2.0 notices preserved. See LICENSE, THIRD_PARTY_NOTICES.md, and licenses/. |
| |
