| { |
| "release": "MemoryATHENA-20260922", |
| "description": "Compact release metadata and aggregate results for MemoryATHENA QA and general-NLP experiments.", |
| "base_model": "mistralai/Mistral-7B-v0.3", |
| "seed": 42, |
| "collection": "OLAResearchX/memoryathena-6ab21a89e66b6ff2ded749ca", |
| "model_repositories": [ |
| "OLAResearchX/memoryathena-qa-20260922", |
| "OLAResearchX/memoryathena-general-nlp-20260922" |
| ], |
| "training_data": { |
| "qa": { |
| "reader_and_router": "English Wikipedia-2021 causal next-token-only stream", |
| "source_memory_dependency": "OLAResearchX/xmemtransfer-llama2-source-20m", |
| "token_budget": 20000000, |
| "seed": 42 |
| }, |
| "general_nlp": { |
| "mixture": [ |
| "WikiText-103", |
| "Amazon Polarity review text", |
| "CC-News", |
| "IMDB text" |
| ], |
| "mixing": "equal-token mixture", |
| "tokens_per_phase": 20000000, |
| "sequence_length": 2048, |
| "batch_size": 1, |
| "seed": 42 |
| } |
| }, |
| "test_data": { |
| "qa": { |
| "NQ": "Natural Questions Open paper-aligned evaluation split", |
| "WebQA": "WebQuestions/WebQA paper-aligned evaluation split", |
| "TriviaQA": "rc.nocontext validation split", |
| "TruthfulQA": "multiple_choice split", |
| "HotpotQA": "distractor split" |
| }, |
| "general_nlp": { |
| "SST2": { |
| "split": "paper-aligned evaluation", |
| "examples": 872 |
| }, |
| "MR": { |
| "split": "paper-aligned evaluation", |
| "examples": 2000 |
| }, |
| "CR": { |
| "split": "paper-aligned evaluation", |
| "examples": 2000 |
| }, |
| "RT": { |
| "split": "paper-aligned evaluation", |
| "examples": 1066 |
| }, |
| "AGN": { |
| "split": "paper-aligned evaluation", |
| "examples": 7600 |
| }, |
| "Yahoo": { |
| "split": "Yahoo Answers Topics paper-aligned evaluation", |
| "examples": 60000 |
| } |
| } |
| }, |
| "disclosures": [ |
| "single training seed", |
| "no raw examples or labels redistributed", |
| "historical Vanilla NLP scorer differs from the E/router scorer", |
| "Yahoo tau=1.0 is a post-hoc test-set sweep" |
| ], |
| "excluded": [ |
| "ARTIFACTS.md", |
| "raw datasets", |
| "raw test examples", |
| "labels", |
| "raw predictions", |
| "credentials", |
| "internal filesystem paths" |
| ] |
| } |
|
|
