| ---
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| language:
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| - en
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| pretty_name: TSSMRBench Official 300 Public Release
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| license: other
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| task_categories:
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| - question-answering
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| tags:
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| - benchmark
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| - llm-agents
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| - memory-systems
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| - retrieval
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| - temporal-reasoning
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| - version-aware-retrieval
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| - text
|
| ---
|
|
|
| # TSSMRBench Official 300 Public Release
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|
|
| ## Dataset Summary
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|
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| This repository contains the public release package for **TSSMRBench**, a benchmark for evaluating whether an agent memory system can retrieve the **stage-correct temporal semantic state** from an evolving memory trajectory.
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| The source material for this release is derived from public release histories of 300 influential GitHub repositories. For public redistribution, the package **removes the original `raw_text` release-note content** and retains only the normalized `memory_unit_text` representations, benchmark structure, question annotations, and source links.
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|
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| The release is distributed as a single merged public file: |
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| - `data/official_300_merged_public.json`: a single-file public merged release with the same scenario structure as the internal merged dataset, but with `raw_text` removed. |
| |
| ## What TSSMRBench Evaluates
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|
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| TSSMRBench focuses on **temporal semantic state memory retrieval**. Each scenario is an evolving memory trajectory composed of versioned semantic states. The benchmark asks whether a memory system can retrieve the state evidence required by a query when several nearby versions are semantically related but temporally different.
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| The benchmark contains three task families:
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|
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| - `single_state_lookup`: retrieve one stage-correct state.
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| - `cross_version_comparison`: jointly retrieve two states and compare them.
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| - `temporal_version_ordering`: recover several states and place them in the correct temporal progression.
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|
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| ## Public Release Design
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|
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| This Hugging Face release is intended to be easier to redistribute and audit than the internal experiment package:
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|
|
| - Original `raw_text` fields are removed.
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| - Local absolute paths are removed.
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| - `source_url` links are preserved for traceability.
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| - `memory_unit_text` fields retain the normalized textual state descriptions used in the benchmark.
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|
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| ## Data Fields |
| |
| The merged file `official_300_merged_public.json` stores one scenario record per repository. Each scenario contains: |
| |
| - `prototype_id`: scenario identifier. |
| - `repo`: source repository. |
| - `window_title`: scenario title. |
| - `window_summary`: summary of the scenario's version history. |
| - `chunks`: the 30 temporal semantic state nodes, each with fields such as `memory_node_id`, `artifact_ref`, `time_hint`, `published_at`, `source_url`, and `memory_unit_text`. |
| - `questions`: the benchmark questions associated with the scenario, including `question_id`, `task_type`, `query_text`, `options`, `correct_option_id`, `expected_answer`, `source_chunk_ids`, and `answer_support`. |
| |
| ## Intended Use
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| This release is intended for:
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| - benchmarking agent memory systems;
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| - retrieval and reranking analysis on evolving memories;
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| - error analysis on version-sensitive memory retrieval;
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| - research on temporal reasoning grounded in retrieved memory evidence.
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|
|
| ## Limitations
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|
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| - The package is derived from public repository release histories and therefore reflects the style, granularity, and coverage of those sources.
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| - `memory_unit_text` is a normalized rewrite of source material rather than the raw release note text.
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| - This public package is designed for benchmark use and traceable redistribution, not as a substitute for the original upstream release documentation.
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|
|
| ## Licensing Note
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|
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| This dataset package uses `license: other` because it combines:
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|
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| - benchmark structure, task design, and annotations created by the authors; and
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| - derived state descriptions and source links originating from multiple upstream repositories with non-uniform licenses.
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| Please read the `LICENSE` file in this repository before redistribution or reuse.
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|
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| ## Citation
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|
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| If you use this dataset, please cite the TSSMRBench paper and repository once the final bibliographic entry is available. Until then, please reference the repository URL directly.
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| |
