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Microtensor arena definitions, envelope groups, allowed base models and dev item builders

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Microtensor arenas

Every arena on the network, as the files the definitions are built from. The pages here are the same ones the site shows at microtensor.cloud/network. Hidden items never live here; validators receive them only inside encrypted epoch bundles.

Arenas

Arena Task Envelope Network
ctx_compress Agent context compression mt-5 testnet
sql_gen Databases: SQL generation mt-5 testnet

Each folder holds:

File What it is
arena.yaml The arena: purpose, specialised SLM, evaluation, envelope group, scoring, harness, router, escalation, floors, item counts
schema/input.json, schema/output.json The task's input and output schemas
ARENA.md The arena page, rendered from arena.yaml
data/README.md The attached dataset and how to build dev items from it
CHANGELOG.md What changed and when

Shared files

File What it is
shared/envelopes.yaml The six envelope classes (mt-1 Budget phone, mt-2 Phone, mt-3 CPU, mt-4 AI PC, mt-5 Small GPU, mt-6 Large), which are open on testnet and mainnet, their rules and how validators measure them
shared/bases.yaml Every allowed base model with its pinned revision, licence, size, the groups it fits and any licence condition

An arena names one group and may only tighten its limits. Its bases come from the shared list and must fit its group. The same values are served at GET /v2/envelopes and GET /v2/bases.

Dev items

pip install -e ".[compress]"
mta dev --arena ctx_compress --count 200 --out data/dev
mta check data/dev

mta dev builds items in the arena's exact format from its public dataset: the compaction instruction with its token budget, the session inside <session> tags, and the label the grader scores against (key facts with their aliases and probe questions with their answers). Twins are another cut of the same session. Hidden items are built the same way from fresh sessions that are never published, so train on the skill, not on these items. Pass --items data/dev/items.jsonl to mt envelope check to time your model on them.

Rendering

mta render writes each ARENA.md and data note from its arena.yaml; mta render --check fails when one is out of date.

Licence

Source available under the Microtensor licence in LICENSE. Datasets keep their own licences.

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