README.md

metadata

license: apache-2.0
language:
  - en
pretty_name: XMemTransfer Results
size_categories:
  - n<1K
tags:
  - xmemtransfer
  - external-memory
  - experimental-results
  - arxiv:2608.17050
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/release_artifacts.jsonl

XMemTransfer Results

This dataset is the machine-readable release manifest and result summary for Cross-Model Memory Transfer via Target-Side Reader Adaptation. Each row describes one released XMemTransfer source-memory or target-adaptor repository. When a released artifact has a results.json, the row also includes its validation-perplexity and gate-statistic summary.

• Paper: arXiv:2608.17050
• Project page: XMemTransfer
• Code: OLAResearch/XMemTransfer
• Models: XMemTransfer collection

Dataset contents

The train split contains 20 release-manifest rows. Twelve rows include result summaries copied from the corresponding released model artifacts. Null metric fields mean that the artifact is a source memory without a target-adaptor result summary.

Important fields:

• artifact_id, artifact_kind, and hf_repo: released artifact identity.
• base_model and source_memory_repo: model provenance.
• token_budget: target-side fitting budget for adaptors, or source-memory training budget for source artifacts.
• best_val_ppl, training-step fields, and gate_*: values recorded by the released experiment's results.json.

Scope and limitations

This is experiment and release metadata, not a language-model training corpus or a benchmark. It does not redistribute WikiText, evaluation examples, or model weights. Metrics are run summaries and should be interpreted with the experimental setup in the paper and repository. Local filesystem paths in the original run outputs are deliberately excluded.

Datasets used by the paper

The experiments use the following public corpora and evaluation datasets. They are listed here as references only; this release does not mirror their data:

• Training and intrinsic evaluation: WikiText-103 (wikitext-103-raw-v1), Wikipedia-2021 (December 2021 English Wikipedia, Mistral-tokenizer preprocessed release), LAMBADA, C4 (en), and FineWeb-Edu (sample-10BT).
• Open-domain QA and transfer evaluation: Natural Questions Open (NQ), WebQuestions (WebQA), TriviaQA (the rc.nocontext RC no-context subset; validation split), TruthfulQA (multiple_choice), and HotpotQA (distractor).
• Multiple-choice and classification evaluation: HellaSwag, PIQA, ARC (Easy and Challenge), Winogrande (winogrande_xl), BoolQ, SuperGLUE RTE (rte), OpenBookQA, SciQ, and RACE (high).

See the paper's dataset and evaluation protocol for the exact splits and preprocessing. Wikipedia-2021 is the factual/encyclopedic corpus used for the QA memory-contribution experiments.

OLAResearchX/XMemTransfer-Results is a release-results and metadata index. Its arxiv:2608.17050 tag is what makes it appear under Datasets citing this paper on the paper page; that Hugging Face panel lists repositories that declare a paper link, rather than automatically listing every external source dataset referenced in this card.

License

Apache-2.0, matching the XMemTransfer code release.