dataset_id stringclasses 1
value | dataset_title stringclasses 1
value | source_type stringclasses 1
value | generated_at timestamp[ns, tz=UTC]date 2026-06-02 13:04:55 2026-06-02 13:04:55 | prototype_count int64 300 300 | prototypes dict |
|---|---|---|---|---|---|
official_300repo_release_unified_v1 | Official 300-repository GitHub release-note unified benchmark | github_release_note_unified | 2026-06-02T13:04:55.376000 | 300 | {
"_merge_meta": {
"candidate_labels": [
"kotlin"
],
"stargazers_count": 57305
},
"chunks": [
{
"artifact_ref": "release:2.0.1",
"artifact_type": "release_note",
"memory_node_id": "2dust__v2rayNG__release__2_0_1",
"memory_unit_text": "In the 2dust/v2rayNG release 2.0.... |
official_300repo_release_unified_v1 | Official 300-repository GitHub release-note unified benchmark | github_release_note_unified | 2026-06-02T13:04:55.376000 | 300 | {
"_merge_meta": {
"candidate_labels": [],
"stargazers_count": null
},
"chunks": [
{
"artifact_ref": "release:2025.02.19",
"artifact_type": "release_note",
"memory_node_id": "yt_dlp__yt_dlp__release__2025_02_19",
"memory_unit_text": "In the yt-dlp/yt-dlp release 2025.02.19, cor... |
official_300repo_release_unified_v1 | Official 300-repository GitHub release-note unified benchmark | github_release_note_unified | 2026-06-02T13:04:55.376000 | 300 | {
"_merge_meta": {
"candidate_labels": [
"cli"
],
"stargazers_count": 45676
},
"chunks": [
{
"artifact_ref": "release:v0.57.0",
"artifact_type": "release_note",
"memory_node_id": "Aider_AI__aider__release__v0_57_0",
"memory_unit_text": "In the Aider-AI/aider release v... |
official_300repo_release_unified_v1 | Official 300-repository GitHub release-note unified benchmark | github_release_note_unified | 2026-06-02T13:04:55.376000 | 300 | {
"_merge_meta": {
"candidate_labels": [
"swift"
],
"stargazers_count": 42391
},
"chunks": [
{
"artifact_ref": "release:5.0.5",
"artifact_type": "release_note",
"memory_node_id": "Alamofire__Alamofire__release__5_0_5",
"memory_unit_text": "In the Alamofire/Alamofire r... |
official_300repo_release_unified_v1 | Official 300-repository GitHub release-note unified benchmark | github_release_note_unified | 2026-06-02T13:04:55.376000 | 300 | {
"_merge_meta": {
"candidate_labels": [
"go"
],
"stargazers_count": 49575
},
"chunks": [
{
"artifact_ref": "release:v3.38.0",
"artifact_type": "release_note",
"memory_node_id": "AlistGo__alist__release__v3_38_0",
"memory_unit_text": "In the AlistGo/alist release v3.3... |
official_300repo_release_unified_v1 | Official 300-repository GitHub release-note unified benchmark | github_release_note_unified | 2026-06-02T13:04:55.376000 | 300 | {"_merge_meta":{"candidate_labels":["browser","mobile"],"stargazers_count":30901},"chunks":[{"artifa(...TRUNCATED) |
official_300repo_release_unified_v1 | Official 300-repository GitHub release-note unified benchmark | github_release_note_unified | 2026-06-02T13:04:55.376000 | 300 | {"_merge_meta":{"candidate_labels":["java"],"stargazers_count":33660},"chunks":[{"artifact_ref":"rel(...TRUNCATED) |
official_300repo_release_unified_v1 | Official 300-repository GitHub release-note unified benchmark | github_release_note_unified | 2026-06-02T13:04:55.376000 | 300 | {"_merge_meta":{"candidate_labels":["cli","rust"],"stargazers_count":64529},"chunks":[{"artifact_ref(...TRUNCATED) |
official_300repo_release_unified_v1 | Official 300-repository GitHub release-note unified benchmark | github_release_note_unified | 2026-06-02T13:04:55.376000 | 300 | {"_merge_meta":{"candidate_labels":["typescript"],"stargazers_count":88161},"chunks":[{"artifact_ref(...TRUNCATED) |
official_300repo_release_unified_v1 | Official 300-repository GitHub release-note unified benchmark | github_release_note_unified | 2026-06-02T13:04:55.376000 | 300 | {"_merge_meta":{"candidate_labels":["browser"],"stargazers_count":42581},"chunks":[{"artifact_ref":"(...TRUNCATED) |
TSSMRBench Official 300 Public Release
Dataset Summary
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.
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.
The release is distributed as a single merged public file:
data/official_300_merged_public.json: a single-file public merged release with the same scenario structure as the internal merged dataset, but withraw_textremoved.
What TSSMRBench Evaluates
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.
The benchmark contains three task families:
single_state_lookup: retrieve one stage-correct state.cross_version_comparison: jointly retrieve two states and compare them.temporal_version_ordering: recover several states and place them in the correct temporal progression.
Public Release Design
This Hugging Face release is intended to be easier to redistribute and audit than the internal experiment package:
- Original
raw_textfields are removed. - Local absolute paths are removed.
source_urllinks are preserved for traceability.memory_unit_textfields retain the normalized textual state descriptions used in the benchmark.
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 asmemory_node_id,artifact_ref,time_hint,published_at,source_url, andmemory_unit_text.questions: the benchmark questions associated with the scenario, includingquestion_id,task_type,query_text,options,correct_option_id,expected_answer,source_chunk_ids, andanswer_support.
Intended Use
This release is intended for:
- benchmarking agent memory systems;
- retrieval and reranking analysis on evolving memories;
- error analysis on version-sensitive memory retrieval;
- research on temporal reasoning grounded in retrieved memory evidence.
Limitations
- The package is derived from public repository release histories and therefore reflects the style, granularity, and coverage of those sources.
memory_unit_textis a normalized rewrite of source material rather than the raw release note text.- This public package is designed for benchmark use and traceable redistribution, not as a substitute for the original upstream release documentation.
Licensing Note
This dataset package uses license: other because it combines:
- benchmark structure, task design, and annotations created by the authors; and
- derived state descriptions and source links originating from multiple upstream repositories with non-uniform licenses.
Please read the LICENSE file in this repository before redistribution or reuse.
Citation
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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