datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
PersonalizationV3memory-representation-contextbench-artifacts
Memory Representation ContextBench Artifacts
Dataset Summary
This repository contains processed artifacts for the paper "Memory as a Map: Prior-Trajectory Representations for Software Engineering Agents." The artifact supports reproduction and inspection of a controlled prior-context representation experiment over SWEContextBench prior-target pairs.
The experiment renders each target under four prompt conditions: no prior context, stripped Claude Code transcript… See the full description on the dataset page: https://huggingface.co/datasets/shshwtsuthar/memory-representation-contextbench-artifacts.memory_layers
CorpusQA-Films — aggregation-QA dataset (v1)
Synthetic corpus-level aggregation questions over English Wikipedia film articles, with
self-distilled chain-of-thought. Built to train the memory-layers model (frozen Qwen3-4B +
learnable retrieval/memory layer). Formatted to match
ragrawal36/multihop_qa_sft-hard-neg-cot.
Files (HF-ready)
file
schema
rows
corpusqa_films_qa.parquet
question:str, answer:str, pos_doc_ids:list<int32>, neg_doc_ids:list<int32>… See the full description on the dataset page: https://huggingface.co/datasets/jordanlin/memory_layers.PersonalizationV4helium_memory
Try gpt-oss ·
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Model card ·
OpenAI blog
Welcome to the gpt-oss series, OpenAI’s open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases.
We’re releasing two flavors of these open models:
gpt-oss-120b — for production, general purpose, high reasoning use cases that fit into a single 80GB GPU (like NVIDIA H100 or AMD MI300X) (117B parameters with 5.1B active parameters)gpt-oss-20b — for lower latency, and local or… See the full description on the dataset page: https://huggingface.co/datasets/Fred808/helium_memory.memory-representation-contextbench-traces
Memory Representation ContextBench Raw Traces
This optional artifact contains raw Claude Code prior JSONL traces discovered for the ContextBench prompt set. It includes 96 trace manifest rows and 42722114 bytes of copied JSONL content.
OpenHands target-run JSONL traces were not present in the discovered source folders, so traces/openhands_runs/ is present as an empty directory structure and the absence is recorded in manifests/validation_summary.json.
Checksums are in… See the full description on the dataset page: https://huggingface.co/datasets/shshwtsuthar/memory-representation-contextbench-traces.PersonaMem-v2MemoryMatters_DatasetThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": null,
"total_episodes": 50,
"total_frames": 14325,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 30,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/wayrise/MemoryMatters_Dataset.MemoryAgentBenchSingleRowThe same data as the original but put in single row format rather than multiple questions per line. Please see the original for questions, details, and the citation.
eval_record-memory2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 4,
"total_frames": 7141,
"total_tasks": 1,
"total_videos": 4,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:4"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/jakacikac/eval_record-memory2.CodeSearchNet-Python-LDUvln-trajectory-memory-stage2
VLN Trajectory-Memory — Stage 2 (projector alignment)
Text-only question answering where the only source of truth is a robot's action history.
Each record gives a navigation trajectory as a list of primitive actions and asks something
that can only be answered by tracking where those actions lead: how far from the start, which
way the robot faces, what happened in the last quarter of the route.
It was built to measure whether a frozen vision-language model (Qwen3-VL-2B) can read… See the full description on the dataset page: https://huggingface.co/datasets/Rithvik762/vln-trajectory-memory-stage2.record-memoryThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 2,
"total_frames": 1879,
"total_tasks": 1,
"total_videos": 2,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:2"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/jakacikac/record-memory.contact_memory_lerobotPersonalizationmemory-representation-nebius-openhands-adp-v0.1
Nebius OpenHands Trajectories Converted to ADP v0.1
This is an auxiliary converter-validation artifact. It is not part of the 95-target SWEContextBench evaluation.
It converts public Nebius OpenHands trajectories to a canonical ADP-like JSON representation. The release contains 67074 converted rows across 17 parquet shard(s), covering 1823 repositories. Resolved labels: 32161 resolved and 34913 unresolved.
The artifact should be cited together with the original Nebius… See the full description on the dataset page: https://huggingface.co/datasets/shshwtsuthar/memory-representation-nebius-openhands-adp-v0.1.mcp-memory-auto-trigger-ultimateLongLaMP-2swebench-verified-kimi-k2p6-traces
SWE-bench Verified Kimi K2.6 Reasoning Traces
This dataset contains reasoning traces generated on princeton-nlp/SWE-bench_Verified using fireworks_ai/kimi-k2p6-high with a mini-swe-agent based harness. It is intended for research and distillation of software-engineering agents.
The repository is published with three configs because each table has a different schema:
raw_trajectories: one row per SWE-bench instance with the patch, sanitized result JSON, full trajectory JSON, message… See the full description on the dataset page: https://huggingface.co/datasets/MemoryAsModality/swebench-verified-kimi-k2p6-traces.PersonalizationV2eval_record-memoryThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 1,
"total_frames": 1786,
"total_tasks": 1,
"total_videos": 1,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/jakacikac/eval_record-memory.LongLaMP-3mem_agent-model_based-rl-memoryagent-7b-ruler-qa-test-c27000-t1024-10s-agnosticLongLaMP-4super_poulain_subtasks_memoryThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "omx_follower",
"total_episodes": 50,
"total_frames": 32650,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/pepijn223/super_poulain_subtasks_memory.mem_agent-model_based-rl-memoryagent-7b-ruler-qa-test-c2048-t1024-10s-agnostic-nocontexthawk-technical-memoryMemoryCtrl
MemoryCtrl Evaluation Dataset
Dataset Summary
MemoryCtrl is a synthetic benchmark for studying memory control in personalized LLM settings. It is designed around a simple but important tension: in long-running personalized interactions, some past information is helpful for personalization, but not everything the user says should necessarily be stored, retained, or reused forever. A central question behind the benchmark is whether users can explicitly control the memory… See the full description on the dataset page: https://huggingface.co/datasets/ethz-spylab/MemoryCtrl.so101_card_memoryThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/omnaathg/so101_card_memory.mem_agent-bertscore-rl-memoryagent-14b-docfinqa-train-c4096-t4096-1000s-agnostic