Datasets:
compression_arm stringclasses 1
value | compression_scope stringclasses 1
value | data_type stringclasses 1
value | generation dict | gold_answer stringclasses 3
values | harvest_version stringclasses 1
value | messages listlengths 7 9 | model stringclasses 1
value | model_revision stringclasses 1
value | schema_version int64 2 2 | segment_count int64 27 29 | source_dataset stringclasses 1
value | sub_dataset stringclasses 3
values | support_segment_ids listlengths 3 5 | task stringclasses 3
values | task_id stringclasses 3
values | tool_call_count int64 3 5 | tools listlengths 1 1 | verification dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
compressed | input_segments | synthetic_expansion_agent | {
"max_tokens_per_turn": 512,
"temperature": 0.1,
"top_p": 0.95
} | Bay 37 | Bay 84 | Bay 82 | LATEST Bay 82 | synthetic-expansion-harvest-v1 | [
{
"content": "Answer the question using the supplied context segments.\nEach segment is named seg_i and initially appears through a compressed memory\nrepresentation rather than as ordinary plaintext. When exact information is\nmissing, call the expand tool with the required segment_id to place that\nsegment's ... | Qwen/Qwen3-235B-A22B-Instruct-2507 | ac9c66cc9b46af7306746a9250f23d47083d689e | 2 | 27 | synthetic-expansion-v2 | latest_state | [
"seg_14",
"seg_18",
"seg_8"
] | According to all three movement records, list the bays assigned to asset AST-288-Z at 08:00, 11:00, and 15:00 in chronological order, then repeat the latest bay. Return exactly `FINAL: Bay A | Bay B | Bay C | LATEST Bay C`. | sea-565bba68-f8ec-54d7-8b9d-73a35c170c43 | 3 | [
{
"function": {
"description": "Return the original uncompressed text of one compressed context segment. Use this when exact details are missing from a segment summary.",
"name": "expand",
"parameters": {
"additionalProperties": false,
"properties": {
"segment_id": {
... | {
"accepted": true,
"expanded_support": [
"seg_14",
"seg_18",
"seg_8"
],
"missing_support": [],
"parsed_final": "FINAL: Bay 37 | Bay 84 | Bay 82 | LATEST Bay 82",
"reason": "accepted"
} |
compressed | input_segments | synthetic_expansion_agent | {
"max_tokens_per_turn": 512,
"temperature": 0.1,
"top_p": 0.95
} | Western | synthetic-expansion-harvest-v1 | [{"content":"Answer the question using the supplied context segments.\nEach segment is named seg_i a(...TRUNCATED) | Qwen/Qwen3-235B-A22B-Instruct-2507 | ac9c66cc9b46af7306746a9250f23d47083d689e | 2 | 27 | synthetic-expansion-v2 | two_hop_join | [
"seg_25",
"seg_14",
"seg_21"
] | "In which region is the compliance facility assigned to the supplier of shipment SHP-655-G registere(...TRUNCATED) | sea-7f6364ef-281d-5e44-8940-8a6591576fd0 | 3 | [{"function":{"description":"Return the original uncompressed text of one compressed context segment(...TRUNCATED) | {"accepted":true,"expanded_support":["seg_14","seg_21","seg_25"],"missing_support":[],"parsed_final"(...TRUNCATED) |
compressed | input_segments | synthetic_expansion_agent | {
"max_tokens_per_turn": 512,
"temperature": 0.1,
"top_p": 0.95
} | delayed | released | cancelled | delayed | packed | synthetic-expansion-harvest-v1 | [{"content":"Answer the question using the supplied context segments.\nEach segment is named seg_i a(...TRUNCATED) | Qwen/Qwen3-235B-A22B-Instruct-2507 | ac9c66cc9b46af7306746a9250f23d47083d689e | 2 | 29 | synthetic-expansion-v2 | multi_key_lookup | [
"seg_16",
"seg_19",
"seg_26",
"seg_23",
"seg_7"
] | "Report the statuses of orders ORD-674-K, ORD-733-X, ORD-645-H, ORD-800-T, ORD-924-C in that order. (...TRUNCATED) | sea-a0ec50ca-f778-5787-bf55-d64625dbede1 | 5 | [{"function":{"description":"Return the original uncompressed text of one compressed context segment(...TRUNCATED) | {"accepted":true,"expanded_support":["seg_16","seg_19","seg_23","seg_26","seg_7"],"missing_support":(...TRUNCATED) |
Stage 3 Synthetic Expansion Agents — Verified Pilot
This is a small inspection pilot for native selective-expansion training. It is not the final-scale mixture.
Each initial user context contains 27–29 positional segments named seg_1,
seg_2, and so on. Every segment contains its full source document wrapped in
<|memory_start|>...<|memory_end|>. The assistant receives a native Qwen tool
schema and may call expand({"segment_id": "seg_i"}); the matching tool result
then places that same full document into the conversation. The Qwen teacher saw
only short routing descriptions while generating calls; those descriptions are
not stored as the train-time memory bodies.
Pilot results
- Requested tasks: 5, one per task family
- Verified accepted traces: 3
- Native expansion calls: 11 (3–5 per trace)
- Rejected traces: 2 (wrong exact final answers)
- Model:
Qwen/Qwen3-235B-A22B-Instruct-2507 - Compression scope: initial input segments only
- Per-segment floor: 512 whitespace-delimited words (882–972 Qwen tokens here)
- Raw memory context: 25,627–27,328 Qwen tokens per accepted trace
The accepted split contains one latest-state task, one multi-key lookup, and one multi-hop join. The audit directory retains all five programmatic tasks and both rejected traces.
Training semantics
The tools field is passed to Qwen's native chat template, which renders the
tool schema in its system tool block. Training loss applies to every assistant
tool-call turn and the final assistant answer. System, user, and tool-result
tokens are loss-masked. Memory bodies are extracted for the encoder/adapter path.
Verification
An accepted trace must use only native expand calls with a valid seg_i,
receive the exact original text mapped to each call, expand every supporting
segment, preserve call/result IDs, contain memory markers only in message text,
and emit the exact requested FINAL: response.
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