Files
natural-memory-nm21/data/_probe_cap4000/manifest.json
T
WpyQwq 643e22ecb9 Natural Memory NM2.1: 记忆路由器分叉、数据集缺陷修复与全轴评测证据
- 引入 MemoryRouterXL 与 v5/v6 流式多线程训练/编码管线
- 修复 prepare_memory_router_dataset 候选池重建缺陷(mega 家族 3568x 加速,输出逐字节相同)
- 修复 v5 被破坏的拒答与多跳标签(train 未知样本 319 -> 16319,multi_hop 平均正例 1.00 -> 2.00)
- 同存储预算下 V2-128 v6 逐轴 22/22 通过:Top-1 41.12% -> 94.62%,未知拒答 0.00% -> 100.00%
- 记录三条被实测推翻的显然优化(logits_to_keep=1 反而慢 55%、XL 容量未带来收益)
- 记忆手术跨架构可移植性 14/14,读写关闭时与原生模型逐位相同
2026-09-19 11:11:31 +08:00

186 lines
5.5 KiB
JSON

{
"format_version": 3,
"generator": "prepare_memory_router_dataset.py",
"seed": 20260909,
"candidate_count": 32,
"schema": {
"query": "natural-language routing query",
"candidates": "bounded memory records with text and provenance",
"positive_indices": "one or more supporting memory records; empty means abstain",
"need_memory": "1 if evidence is required and present, 0 for unknown/unsupported queries",
"hop": "0 for abstention, otherwise number of supporting records clipped to router max_hops",
"group_id": "conversation or QA episode identity; no group may cross train/eval"
},
"files": {
"train": {
"path": "H:\\Memory\\V2_dpskw\\data\\_probe_cap4000\\train.jsonl",
"episodes": 4000,
"sha256": "64b5e7ded59ee072ebd122fd8752727ab3b28cdc7cae6b5b0967a82f7342f029"
},
"eval": {
"path": "H:\\Memory\\V2_dpskw\\data\\_probe_cap4000\\eval.jsonl",
"episodes": 1,
"sha256": "672ef5f1f8c525127cd648c67e67fa9f94d2e3cf7121c70d4d0463e508d80113"
}
},
"counts": {
"train_groups": 84155,
"eval_groups": 21120,
"train_episodes": 4000,
"eval_episodes": 1,
"train_unknown": 319,
"eval_unknown": 1,
"train_candidates": 128000,
"eval_candidates": 32
},
"local_sources": [
{
"source": "dynamic_memory_lab/data/benchmark_train.jsonl",
"rows": 128,
"kind": "benchmark",
"split": "train"
},
{
"source": "dynamic_memory_lab/data/native_memory/train.jsonl",
"rows": 512,
"kind": "native_memory",
"split": "train"
},
{
"source": "dynamic_memory_lab/data/production_memory/train.jsonl",
"rows": 1485,
"kind": "normalized_policy",
"split": "train"
},
{
"source": "dynamic_memory_lab/data/production_memory_hard_v2/train.jsonl",
"rows": 27000,
"kind": "normalized_policy",
"split": "train"
},
{
"source": "dynamic_memory_lab/data/mega_validation/memory_validation_80k_train.jsonl",
"rows": 80000,
"kind": "mega_validation",
"split": "train"
},
{
"source": "dynamic_memory_lab/data/benchmark_eval.jsonl",
"rows": 64,
"kind": "benchmark",
"split": "eval"
},
{
"source": "dynamic_memory_lab/data/native_memory/eval.jsonl",
"rows": 128,
"kind": "native_memory",
"split": "eval"
},
{
"source": "dynamic_memory_lab/data/production_memory/eval.jsonl",
"rows": 363,
"kind": "normalized_policy",
"split": "eval"
},
{
"source": "dynamic_memory_lab/data/production_memory_hard_v2/eval.jsonl",
"rows": 7200,
"kind": "normalized_policy",
"split": "eval"
},
{
"source": "dynamic_memory_lab/data/mega_validation/memory_validation_20k_eval.jsonl",
"rows": 20000,
"kind": "mega_validation",
"split": "eval"
}
],
"public_sources": [],
"public_catalog": [
{
"name": "hotpotqa_train",
"dataset_id": "hotpot_qa",
"config": "distractor",
"split": "train",
"split_kind": "train",
"task": "qa",
"url": "https://huggingface.co/datasets/hotpot_qa"
},
{
"name": "hotpotqa_validation",
"dataset_id": "hotpot_qa",
"config": "distractor",
"split": "validation",
"split_kind": "eval",
"task": "qa",
"url": "https://huggingface.co/datasets/hotpot_qa"
},
{
"name": "codesearchnet_python_train",
"dataset_id": "code_search_net",
"config": "python",
"split": "train",
"split_kind": "train",
"task": "code",
"url": "https://huggingface.co/datasets/code_search_net"
},
{
"name": "codesearchnet_python_validation",
"dataset_id": "code_search_net",
"config": "python",
"split": "validation",
"split_kind": "eval",
"task": "code",
"url": "https://huggingface.co/datasets/code_search_net"
},
{
"name": "fever_train",
"dataset_id": "fever",
"config": "v1.0",
"split": "train",
"split_kind": "train",
"task": "evidence",
"url": "https://huggingface.co/datasets/fever"
},
{
"name": "fever_validation",
"dataset_id": "fever",
"config": "v1.0",
"split": "labelled_dev",
"split_kind": "eval",
"task": "evidence",
"url": "https://huggingface.co/datasets/fever"
}
],
"split_stats": {
"train": {
"kept": 4000,
"unknown": 319,
"family:benchmark_qa": 128,
"family:native_memory": 512,
"family:memory_policy": 3360,
"written": 4000
},
"eval": {
"kept": 1,
"unknown": 1,
"family:benchmark_qa": 1,
"written": 1
}
},
"leakage_check": {
"group_overlap": 0,
"passed": true
},
"conflict_policy": {
"enabled": true,
"answerable_positive_conflicts_excluded": true,
"unknown_hard_conflicts_retained": true
},
"evaluation_policy": "eval.jsonl is generated and hashed before router training; the trainer refuses an optional hash mismatch.",
"warnings": [
"Local generated memory-policy files are useful hard negatives but are not public-human chat data.",
"Add redacted real user traces only after consent and PII removal.",
"Public download failures are recorded; failed sources contribute zero rows."
]
}