arrochi112/OpenGrad-ToolPolicy-Canonical-v2

This is a provenance-preserving canonical candidate corpus. It is a pre-training canonical release, not an empirically selected or recommended training mixture.

What this release is

OpenGrad ToolPolicy Canonical v2 is a provenance-preserving, model-independent normalization of public tool-use datasets in which every record declares what it supervises. It exists because not every legitimate post-training corpus has the same conversational trajectory shape, and discarding a corpus for lacking an arbitrary turn is a loss of real supervision.

This is the completed v2 release: four sources, 173,237 canonical records, 176 shards. It is distinct from the historical partial snapshot (OpenGrad-ToolPolicy-Canonical-v2-M0-snapshot), which is unchanged and still published. The two differ in three measured ways:

• this release includes xLAM/APIGen, which contributed 0 trainable records to the partial snapshot and contributes 56,090 here;
• every record carries a supervision contract, so call-prediction and complete-trajectory targets are validated, rendered and measured separately;
• the partial snapshot's When2Call artifact was an interrupted materialization — it had read 9,162 of the raw file's 15,000 rows and was never finalized — so it published 4,000 records where this build retains 6,505.

Supervision contracts

Two contracts are implemented, and exactly one rule differs between them: whether a terminal tool call requires a future environment response.

Contract	Terminal target	Result required after the terminal call	Records here
COMPLETE_TRAJECTORY	assistant final response	yes	105,876 trainable
CALL_PREDICTION	assistant tool call	no	56,090 trainable

A CALL_PREDICTION record is a query + tools -> assistant tool_call example whose supervised target is the call. No tool result is fabricated to make it look like a trajectory, and no placeholder observation is inserted. The contract changes which turns are expected, never which turns exist.

Everything else fails closed under both contracts: undeclared tools, invalid arguments against the effective schema, malformed calls, duplicate call ids, orphaned results, FIFO order violations, and a non-terminal call with no result. A malformed call stays quarantined even when its shape is a valid call-prediction example.

Source manifest

| Source | Role | Upstream | Pinned revision | Raw count | Canonical retained | Published count | License/terms | Adapter version | |---|---|---|---|---|---:|---:|---:|---|---| | xlam-function-calling-60k | canonical SFT | https://huggingface.co/datasets/Salesforce/xlam-function-calling-60k | 26d14ebfe18b1f7b524bd39b404b50af5dc97866 | 59370 | 57342 | 57342 | CC-BY-4.0 (PERMITTED_WITH_ATTRIBUTION) | 1.0.2 | | glaive-function-calling-v2 | canonical SFT | https://huggingface.co/datasets/glaiveai/glaive-function-calling-v2 | 7e7e32f0466699513b38923bc4991858e192c9274df22e243b9e77eb2775b6e8 | 112960 | 98339 | 98339 | Apache-2.0 (REDISTRIBUTION_WITH_ATTRIBUTION) | 1.0.2 | | toolace | canonical SFT | https://huggingface.co/datasets/Team-ACE/ToolACE | 7a7a6a2c3b1003c7 | 11300 | 11051 | 11051 | Apache-2.0 (REDISTRIBUTION_WITH_ATTRIBUTION) | 1.0.2 | | when2call | canonical SFT | https://huggingface.co/datasets/nvidia/When2Call | 0582f7749df63a96fdc3070932e83e72396ace53 | 15000 | 6505 | 6505 | CC-BY-4.0 (REDISTRIBUTION_WITH_ATTRIBUTION) | 1.0.2 |

Composition and trainability

Measured at the training boundary by rendering every record, not by counting canonical rows.

Source	Canonical	Trainable	Yield	Tool-call targets	Contract
glaive-function-calling-v2	98,339	97,112	0.988	48,723	COMPLETE_TRAJECTORY
xlam-function-calling-60k	57,342	56,090	0.978	56,090	CALL_PREDICTION
toolace	11,051	2,259	0.204	327	COMPLETE_TRAJECTORY
when2call	6,505	6,505	1.000	0	COMPLETE_TRAJECTORY
total	173,237	161,966		105,140

The mixture is natural: no supervision kind is reweighted and none is excluded.

What each source actually supervises

• xLAM/APIGen is next-tool-call prediction. It contains no tool-result turn at all, which is why it needs CALL_PREDICTION; its upstream card documents answers as the call to make.
• Glaive supplies real multi-turn trajectories: every call is answered by a function-response turn.
• ToolACE retains 20.4% of its canonical records. 8,476 end on an assistant call that no tool message answers. Those are quarantined rather than reclassified, because the available bytes do not establish whether they are intended next-call supervision or truncated trajectories, and guessing would train on incomplete conversations while labelling them deliberate.
• When2Call supervises the decision in prose — decline, ask for the missing detail, or answer directly. It carries no structured call and no tool result, and that is its contribution rather than a defect.

What is not included

Source	Reason
BUTTON	Upstream repository is access-gated (HTTP 401). Not fetched, not approximated.
LoopTool-23k	Upstream source was not located. Not fetched, not approximated.

xLAM's upstream is also access-gated: its records are reconstructed from the published Canonical-v1 derivative, which retains tools[].parameters unmodified. The derivation is representational and verified record by record (59,370/59,370 with zero mismatches); it invents no field and repairs nothing.

Quarantine

Cause	Records	Attribution
Unrepresentable at the schema layer	2,028	Adapter refuses Union, Callable, set — no exact JSON Schema form
SEM_ARGUMENT_INVALID	1,231	Upstream data quality: the gold call's value contradicts the type the same record declares
Unresolved non-terminal calls	8,476	ToolACE records quarantined under the conservative classification
TARGET_TRUNCATED	700	Exceed the 2,048-token window after rendering
UNRENDERABLE	2,095	Trajectory contract violations, counted rather than repaired

Quarantine is a result, not a shortfall. A record that cannot be interpreted under its declared contract is reported rather than coerced into training text.

Evaluation boundary

The frozen When2Call held-out namespace (when2call-mcq, when2call-llm-judge, and the preference split) is excluded from this payload and remains separate in the OpenGrad repository. Two held-out examples were adjudicated CONTAMINATED against this corpus and quarantined, leaving 3,950 distinct evaluation examples. Contamination review is complete for this corpus and its evidence artifacts are corpus-scoped.

Provenance and versioning

The release manifest records the OpenGrad commit, source manifest hashes, source revisions, adapter versions, output shard hashes and release filters. The recorded commit contains the code that produced this payload, so the release is reproducible from it: two independent builds at that commit produce an identical manifest and 176 byte-identical shards.

This release is frozen. A future change is a new version with a new identity, never an in-place edit.

Licensing and citations

OpenGrad source code is Apache-2.0. Upstream dataset terms remain source-specific and are documented in source-licenses.md; this release does not relicense upstream data. See CITATIONS.bib for source references.

Responsible use

Use the data in accordance with each upstream source's terms and attribution requirements. Do not infer that a valid tool call demonstrates reliable tool-use policy or task completion. Records supervised under CALL_PREDICTION teach next-call prediction; they are not evidence of tool-result interpretation, multi-turn recovery, or multi-step planning, and should not be described as complete tool-use trajectories.