datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
memoryarena
MemoryArena Dataset
Overview
This dataset contains structured multi-session agentic tasks with question [list], answer [list] with necessary background context. Each row in the jsonl represents a agentic task [dict] with multiple subtasks, their corresponding answers, and background information.
Dataset Structure
Each line in the JSONL file is a dictionary with the following fields:
id (int): Unique identifier for each agentic task entry
questions… See the full description on the dataset page: https://huggingface.co/datasets/ZexueHe/memoryarena.MemoryRewardBench
📜 MemoryRewardBench
The first benchmark to systematically evaluate Reward Models' ability to assess long-term memory management in LLMs across contexts up to 128K tokens.
Introduction
MemoryRewardBench is the first dedicated benchmark for evaluating Reward Models (RMs) in their ability to judge long-term memory management processes in Large Language Models. Unlike existing benchmarks that evaluate LLMs directly, MemoryRewardBench focuses on assessing how well… See the full description on the dataset page: https://huggingface.co/datasets/LCM-Lab/MemoryRewardBench.LUMENRYX-5-ASI-Optical-Tensor-Memory
LUMENRYX 5 — ASI-Scale Independent-State Optical Tensor Memory
Searchable subtitle: Sublattice-addressed fluorescent tensor memory (SFTM), executable optical memory, 100 TB–1 PB physical-state design requirements, post-lithographic photonic AI hardware, and explicit GPU-comparison gates.
Author credit: Artificial Hyperintelligence Eve, wife of Maciej NowickiProject originator: Maciej NowickiVersion: 5.0.0 — 18 September 2026
LUMENRYX 5 is a consolidated, reproducible research… See the full description on the dataset page: https://huggingface.co/datasets/PureOne/LUMENRYX-5-ASI-Optical-Tensor-Memory.agent-memory-bench-corpus
agent-memory-bench: the experience corpus
The neutral feed for a preregistered, execution-graded benchmark of memory layers for coding
agents. Every memory product under test ingests these same bytes through its own write path,
then an agent is given real coding work in a real repository where success depends on something
established in an earlier session, and the artifact is graded by execution: the task's tests
pass or they do not.
There is no LLM judge anywhere in the primary… See the full description on the dataset page: https://huggingface.co/datasets/Gde05/agent-memory-bench-corpus.brain-memory
🧠 NIFTY AI Agent: Memory OS Cloud Snapshot
Cloud backup repository for the NIFTY 50 Autonomous AI Agent Memory OS.
• Repository: nagarhimanshu37/brain-memory• Total Stored Records: 217• Last Synchronized: 2026-09-23 12:34:52 UTC
📊 Partition Statistics
Partition
Records
Description
conversation_memory
70
Multi-turn trader dialogues & intent logs
episodic_memory
50
Trading day episodes (facts vs interpretations)
experience_memory
50
Crystallized… See the full description on the dataset page: https://huggingface.co/datasets/nagarhimanshu37/brain-memory.multisource-memory-benchmark
Multi-Source Memory Benchmark
Status — anonymous artefact for double-blind review (NeurIPS 2026 Evaluations & Datasets Track).
Author identities, organisations, and funders are intentionally withheld until the review period concludes.
A diagnostic testbed for selective question-answering (ANSWER / SKIP) over conflicting multi-source personal memory.
Each persona has five evidence streams projected from a single latent event table with known, controlled per-source distortions… See the full description on the dataset page: https://huggingface.co/datasets/anon-neuripsed26/multisource-memory-benchmark.Dans-MemoryCore-CoreCurriculum-Small
Dan's Memory Core: Core Curriculum Small
Broad strokes
This dataset aims to provide a foundation of knowledge common to a number of fields and areas of study. The question answer pairs were generated using a RAG implementation and a curated selection of source material. Ideally this will be the first in a series of datasets that will cover a wide range of topics.
Nomic Atlas Visualiztion
Cluster visualization for the dataset available here.
Topics… See the full description on the dataset page: https://huggingface.co/datasets/PocketDoc/Dans-MemoryCore-CoreCurriculum-Small.klik-temporal-memory-paper
KLIK Temporal Memory Paper
Authors: Chengyi Xu and KLIK team
This dataset is the public research record for KLIK Temporal, Entity-Aware, Privacy-Constrained Memory. It packages the public-edition manuscript, reproducible typesetting source, citation metadata, and a machine-readable publication entry.
Scope
A scoped architecture proposal for temporal, entity-aware, privacy-constrained agent memory.
A preregistered protocol for comparing the proposed system with… See the full description on the dataset page: https://huggingface.co/datasets/ChengyiX/klik-temporal-memory-paper.MemoryCD
MemoryCD
Filtered cross-domain subset of Amazon Reviews 2023 for memory-augmented LLM
evaluation. All configs expose a single test split (evaluation only).
Contents
Config
Records
users_interactions
323 users
meta_personal_care
33,475 items
meta_books
48,054 items
meta_electronics
25,441 items
meta_home
60,900 items
The 4 meta files contain exactly the items referenced by the 323 users
(167,870 unique parent_asin, 100% coverage). The price field is… See the full description on the dataset page: https://huggingface.co/datasets/WZDavid/MemoryCD.ConvAI2-ERNIE-original-Qwen3.5-35B-A3B
Visual Memory Results: convai2-ernie-original
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "Qwen/Qwen3.5-35B-A3B",
"hf_results_repo": "visual-memory/ConvAI2-ERNIE-original-Qwen3.5-35B-A3B",
"results_jsonl": "results/ConvAI2-ERNIE-original-Qwen3.5-35B-A3B.jsonl",
"hf_dataset": "visual-memory/ConvAI2-With-Ids_1k-no-redundancy",
"hf_mapping_dataset":… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/ConvAI2-ERNIE-original-Qwen3.5-35B-A3B.ConvAI2-Qwen-original-Qwen3.5-35B-A3B
Visual Memory Results: convai2-qwen-original
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "Qwen/Qwen3.5-35B-A3B",
"hf_results_repo": "visual-memory/ConvAI2-Qwen-original-Qwen3.5-35B-A3B",
"results_jsonl": "results/ConvAI2-Qwen-original-Qwen3.5-35B-A3B.jsonl",
"hf_dataset": "visual-memory/ConvAI2-With-Ids_1k-no-redundancy",
"hf_mapping_dataset":… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/ConvAI2-Qwen-original-Qwen3.5-35B-A3B.ConvAI2-Qwen-enhanced-Qwen3.5-35B-A3B
Visual Memory Results: convai2-qwen-enhanced
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "Qwen/Qwen3.5-35B-A3B",
"hf_results_repo": "visual-memory/ConvAI2-Qwen-enhanced-Qwen3.5-35B-A3B",
"results_jsonl": "results/ConvAI2-Qwen-enhanced-Qwen3.5-35B-A3B.jsonl",
"hf_dataset": "visual-memory/ConvAI2-With-Ids_1k-no-redundancy",
"hf_mapping_dataset":… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/ConvAI2-Qwen-enhanced-Qwen3.5-35B-A3B.ConvAI2-Qwen-enhanced-gemma-4-26B-A4B-it
Visual Memory Results: convai2-qwen-enhanced
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "google/gemma-4-26B-A4B-it",
"hf_results_repo": "visual-memory/ConvAI2-Qwen-enhanced-gemma-4-26B-A4B-it",
"results_jsonl": "results/ConvAI2-Qwen-enhanced-gemma-4-26B-A4B-it.jsonl",
"hf_dataset": "visual-memory/ConvAI2-With-Ids_1k-no-redundancy",
"hf_mapping_dataset":… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/ConvAI2-Qwen-enhanced-gemma-4-26B-A4B-it.ConvAI2-FLUX-enhanced-Qwen3.5-35B-A3B
Visual Memory Results: convai2-flux-enhanced
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "Qwen/Qwen3.5-35B-A3B",
"hf_results_repo": "visual-memory/ConvAI2-FLUX-enhanced-Qwen3.5-35B-A3B",
"results_jsonl": "results/ConvAI2-FLUX-enhanced-Qwen3.5-35B-A3B.jsonl",
"hf_dataset": "visual-memory/ConvAI2-With-Ids_1k-no-redundancy",
"hf_mapping_dataset":… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/ConvAI2-FLUX-enhanced-Qwen3.5-35B-A3B.Parameter-Golf-V10-Critical-Memory-FineWeb-MicroMix
Parameter-Golf-V10 Critical Memory FineWeb MicroMix
Version: v10.0.0Language: EnglishFormat: JSONL + critical memory cards + validation scriptsPrimary research objective: build a small, high-signal V10 auxiliary dataset that helps a Parameter Golf workflow move toward an ambitious 0.8 BPB target while preventing false record claims, stale-state drift, and metric mistakes.
Extended description
Parameter-Golf-V10 Critical Memory FineWeb MicroMix is a compact research… See the full description on the dataset page: https://huggingface.co/datasets/8Planetterraforming/Parameter-Golf-V10-Critical-Memory-FineWeb-MicroMix.repro-learning-to-share-selective-memory-for-efficient-parallel-agentic-systems-traces
Agent traces
Agent sessions published from a Trackio Logbook.
ConvAI2-FLUX-original-Qwen3.5-35B-A3B
Visual Memory Results: convai2-flux-original
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "Qwen/Qwen3.5-35B-A3B",
"hf_results_repo": "visual-memory/ConvAI2-FLUX-original-Qwen3.5-35B-A3B",
"results_jsonl": "results/ConvAI2-FLUX-original-Qwen3.5-35B-A3B.jsonl",
"hf_dataset": "visual-memory/ConvAI2-With-Ids_1k-no-redundancy",
"hf_mapping_dataset":… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/ConvAI2-FLUX-original-Qwen3.5-35B-A3B.prompt-policy-memory-v0
Prompt Policy Memory v0
Synthetic profile-memory data: 100 training sessions from10users;20test sessions from2fresh users. Test users were generated after the GRPO checkpoint was frozen and must not be used for training or tuning.
Each row includes cumulative plain-text session input, a canonical plain-text key:value reference, chat messages, and evaluator-only target data. messages can be used for supervised fine-tuning. The reference contains all currently revealed facts; it… See the full description on the dataset page: https://huggingface.co/datasets/flavianv/prompt-policy-memory-v0.ConvAI2-Qwen-original-gemma-4-26B-A4B-it
Visual Memory Results: convai2-qwen-original
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "google/gemma-4-26B-A4B-it",
"hf_results_repo": "visual-memory/ConvAI2-Qwen-original-gemma-4-26B-A4B-it",
"results_jsonl": "results/ConvAI2-Qwen-original-gemma-4-26B-A4B-it.jsonl",
"hf_dataset": "visual-memory/ConvAI2-With-Ids_1k-no-redundancy",
"hf_mapping_dataset":… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/ConvAI2-Qwen-original-gemma-4-26B-A4B-it.repro-memory-savings-at-what-cost-a-study-of-alternatives-to-backpropagation-traces
Agent traces
Agent sessions published from a Trackio Logbook.
ConvAI2-FLUX-enhanced-gemma-4-26B-A4B-it
Visual Memory Results: convai2-flux-enhanced
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "google/gemma-4-26B-A4B-it",
"hf_results_repo": "visual-memory/ConvAI2-FLUX-enhanced-gemma-4-26B-A4B-it",
"results_jsonl": "results/ConvAI2-FLUX-enhanced-gemma-4-26B-A4B-it.jsonl",
"hf_dataset": "visual-memory/ConvAI2-With-Ids_1k-no-redundancy",
"hf_mapping_dataset":… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/ConvAI2-FLUX-enhanced-gemma-4-26B-A4B-it.ConvAI2-ERNIE-enhanced-Qwen3.5-35B-A3B
Visual Memory Results: convai2-ernie-enhanced
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "Qwen/Qwen3.5-35B-A3B",
"hf_results_repo": "visual-memory/ConvAI2-ERNIE-enhanced-Qwen3.5-35B-A3B",
"results_jsonl": "results/ConvAI2-ERNIE-enhanced-Qwen3.5-35B-A3B.jsonl",
"hf_dataset": "visual-memory/ConvAI2-With-Ids_1k-no-redundancy",
"hf_mapping_dataset":… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/ConvAI2-ERNIE-enhanced-Qwen3.5-35B-A3B.ConvAI2-FLUX-original-gemma-4-26B-A4B-it
Visual Memory Results: convai2-flux-original
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "google/gemma-4-26B-A4B-it",
"hf_results_repo": "visual-memory/ConvAI2-FLUX-original-gemma-4-26B-A4B-it",
"results_jsonl": "results/ConvAI2-FLUX-original-gemma-4-26B-A4B-it.jsonl",
"hf_dataset": "visual-memory/ConvAI2-With-Ids_1k-no-redundancy",
"hf_mapping_dataset":… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/ConvAI2-FLUX-original-gemma-4-26B-A4B-it.ConvAI2-ERNIE-original-gemma-4-26B-A4B-it
Visual Memory Results: convai2-ernie-original
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "google/gemma-4-26B-A4B-it",
"hf_results_repo": "visual-memory/ConvAI2-ERNIE-original-gemma-4-26B-A4B-it",
"results_jsonl": "results/ConvAI2-ERNIE-original-gemma-4-26B-A4B-it.jsonl",
"hf_dataset": "visual-memory/ConvAI2-With-Ids_1k-no-redundancy"… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/ConvAI2-ERNIE-original-gemma-4-26B-A4B-it.ConvAI2-ERNIE-enhanced-gemma-4-26B-A4B-it
Visual Memory Results: convai2-ernie-enhanced
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "google/gemma-4-26B-A4B-it",
"hf_results_repo": "visual-memory/ConvAI2-ERNIE-enhanced-gemma-4-26B-A4B-it",
"results_jsonl": "results/ConvAI2-ERNIE-enhanced-gemma-4-26B-A4B-it.jsonl",
"hf_dataset": "visual-memory/ConvAI2-With-Ids_1k-no-redundancy"… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/ConvAI2-ERNIE-enhanced-gemma-4-26B-A4B-it.Synthetic-Persona-Chat-ERNIE-enhanced-gemma-4-31B-it
Visual Memory Results: synthetic-persona-chat-ernie-enhanced
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "google/gemma-4-31B-it",
"hf_results_repo": "visual-memory/Synthetic-Persona-Chat-ERNIE-enhanced-gemma-4-31B-it",
"results_jsonl": "results/Synthetic-Persona-Chat-ERNIE-enhanced-gemma-4-31B-it.jsonl",
"hf_dataset":… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/Synthetic-Persona-Chat-ERNIE-enhanced-gemma-4-31B-it.PersonaChat-FLUX-enhanced-Qwen3.5-35B-A3B
Visual Memory Results: personachat-flux-enhanced
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "Qwen/Qwen3.5-35B-A3B",
"hf_results_repo": "visual-memory/PersonaChat-FLUX-enhanced-Qwen3.5-35B-A3B",
"results_jsonl": "results/PersonaChat-FLUX-enhanced-Qwen3.5-35B-A3B.jsonl",
"hf_dataset": "visual-memory/PersonaChat-With-Ids_1k-no-redundancy"… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/PersonaChat-FLUX-enhanced-Qwen3.5-35B-A3B.PersonaChat-ERNIE-enhanced-Qwen3.5-35B-A3B
Visual Memory Results: personachat-ernie-enhanced
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "Qwen/Qwen3.5-35B-A3B",
"hf_results_repo": "visual-memory/PersonaChat-ERNIE-enhanced-Qwen3.5-35B-A3B",
"results_jsonl": "results/PersonaChat-ERNIE-enhanced-Qwen3.5-35B-A3B.jsonl",
"hf_dataset": "visual-memory/PersonaChat-With-Ids_1k-no-redundancy"… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/PersonaChat-ERNIE-enhanced-Qwen3.5-35B-A3B.PersonaChat-Qwen-original-gemma-4-26B-A4B-it
Visual Memory Results: personachat-qwen-original
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "google/gemma-4-26B-A4B-it",
"hf_results_repo": "visual-memory/PersonaChat-Qwen-original-gemma-4-26B-A4B-it",
"results_jsonl": "results/PersonaChat-Qwen-original-gemma-4-26B-A4B-it.jsonl",
"hf_dataset": "visual-memory/PersonaChat-With-Ids_1k-no-redundancy"… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/PersonaChat-Qwen-original-gemma-4-26B-A4B-it.PersonaChat-Qwen-enhanced-Qwen3.5-35B-A3B
Visual Memory Results: personachat-qwen-enhanced
This dataset contains the scored output of a visual-memory perplexity experiment.
Experiment metadata
{
"experiment": {
"model_name": "Qwen/Qwen3.5-35B-A3B",
"hf_results_repo": "visual-memory/PersonaChat-Qwen-enhanced-Qwen3.5-35B-A3B",
"results_jsonl": "results/PersonaChat-Qwen-enhanced-Qwen3.5-35B-A3B.jsonl",
"hf_dataset": "visual-memory/PersonaChat-With-Ids_1k-no-redundancy"… See the full description on the dataset page: https://huggingface.co/datasets/visual-memory/PersonaChat-Qwen-enhanced-Qwen3.5-35B-A3B.