datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
droid_1.0.1_v30_compact_3This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
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"robot_type": "Franka",
"total_episodes": 10240,
"total_frames": 2988169,
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"splits": {
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"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/cadene/droid_1.0.1_v30_compact_3.droid_1.0.1_v30_compact_5This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
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"robot_type": "Franka",
"total_episodes": 95658,
"total_frames": 27630375,
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"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/cadene/droid_1.0.1_v30_compact_5.droid_1.0.1_v30_compactThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "Franka",
"total_episodes": 95584,
"total_frames": 27607757,
"total_tasks": 49596,
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"splits": {
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"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/cadene/droid_1.0.1_v30_compact.gr1_pickup_compact_h264This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": null,
"total_episodes": 150,
"total_frames": 7800,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 10,
"splits": {
"train": "0:150"
},
"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/vedpatwardhan/gr1_pickup_compact_h264.agenttrove-glm53-compactions
AgentTrove compactions
10,000 summaries generated by GLM-5.3 from GLM-4.6 traces in
AgentTrove, using
OpenCode's compaction prompt. This dataset stores summaries and source references,
not the original traces.
Marin SFT token count
Marin's SFT representation contains 188,537,557 tokens after chat normalization,
rendering, and tokenization with its 2026-09-18 tokenizer snapshot. The count includes
AgentTrove histories restored into the compaction prompts.… See the full description on the dataset page: https://huggingface.co/datasets/open-athena/agenttrove-glm53-compactions.droid_1.0.1_v30_compact_6This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "Franka",
"total_episodes": 93,
"total_frames": 26108,
"total_tasks": 72,
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"data_files_size_in_mb": 100,
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"fps": 15,
"splits": {
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},
"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/cadene/droid_1.0.1_v30_compact_6.droid_1.0.1_v30_compact_2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "Franka",
"total_episodes": 93,
"total_frames": 26108,
"total_tasks": 72,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 15,
"splits": {
"train": "0:93"
},
"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/cadene/droid_1.0.1_v30_compact_2.Compact_OpenAIRE_citation_graph
📚 Compact OpenAIRE Citation Graph
Based on OpenAIRE Graph v11.1.1 (source on Zenodo).
The complete OpenAIRE citation graph, distilled into a handful of compact, analysis-ready files — the full scholarly citation network of the open-science ecosystem, small enough to actually work with.
Citation graphs at this scale are usually locked behind multi-terabyte dumps and heavyweight infrastructure. This dataset makes the entire OpenAIRE citation network loadable… See the full description on the dataset page: https://huggingface.co/datasets/Zmeos/Compact_OpenAIRE_citation_graph.libero_object_link_lerobot_v30_compactlibero_spatial_noop_usd3_link_lerobot_compact_v30_workdirRoll-Compactor-Control-Performance
Roll Compactor Control Performance: PID Tuning & Process Stability (Synthetic)
Version: 1.0
Publisher: Innovative Process Applications (IPA)
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Contact: Crestwood, IL, USA
This dataset is 100% synthetic and intended for educational use only.
It was generated from PID control theory applied to roll compaction process
dynamics — not measured on any real equipment, customer, or production batch.
What's in… See the full description on the dataset page: https://huggingface.co/datasets/IPA-Marketing/Roll-Compactor-Control-Performance.libero_goal_link_lerobot_v30_compactslm-architecture-benchmark-specs
SLM Benchmark Protocol Specs
A reference for the exact conventions to use when benchmarking very small
language models (roughly 0.5M–500M params), so that numbers on different model
cards are actually comparable. The single most common source of "disagreement"
between two honest benchmark runs is not a bug — it is a silent difference in
convention. This dataset pins those conventions down.
Every convention here is either (a) something I verified end-to-end against a
real… See the full description on the dataset page: https://huggingface.co/datasets/Compactbot/slm-architecture-benchmark-specs.gaia-dr3-compact-companions
Gaia DR3 Compact Companion Candidates
Credit: NASA/JPL-Caltech
Part of a dataset collection on Hugging Face.
Dataset description
The Gaia DR3 Compact Companion Candidates catalog contains ~6,300 candidates for binary systems where a normal (luminous) star orbits an unseen compact object — a white dwarf, neutron star, or black hole. These candidates were identified by the Gaia DR3 variability processing pipeline through the detection of ellipsoidal… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/gaia-dr3-compact-companions.context-compaction-poc
Context Compaction PoC Dataset
Training data for a context compaction model — a model that decides which lines to KEEP vs DROP from coding agent context (file reads, grep results, test output, etc.).
Every surviving line stays verbatim. No summarization, no rewriting, zero hallucination risk. Dropped lines become (filtered N lines) markers.
Why context compaction?
Coding agents (Claude Code, Codex, SWE-agent) accumulate massive context during long sessions — 70%+… See the full description on the dataset page: https://huggingface.co/datasets/davanstrien/context-compaction-poc.MedConclusion-Compact
MedConclusion-Compact
MedConclusion is a large-scale dataset of 5.7M PubMed structured abstracts for biomedical conclusion generation. Each instance pairs the non-conclusion sections of an abstract with the original author-written conclusion, providing naturally occurring supervision for evidence-to-conclusion reasoning. MedConclusion also includes journal-level metadata such as biomedical category and SJR, enabling subgroup analysis across biomedical domains.
This repository… See the full description on the dataset page: https://huggingface.co/datasets/harvardairobotics/MedConclusion-Compact.droid_1.0.1_v30_compact_5-dc_ae-6x10-0_60000ipa-pharma-compactor-platform
IPA Pharmaceutical Roller Compactor Platform: Scale-Up & Performance (Synthetic)
Version: 1.0
Publisher: Innovative Process Applications (IPA)
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
⚠️ This dataset is 100% synthetic and intended for educational use only.
Generated from IPA's published CL-series specifications and standard
compaction physics — not real production or clinical batch data.
What's in this dataset
3,000 simulated… See the full description on the dataset page: https://huggingface.co/datasets/Innovative-Process-Applications/ipa-pharma-compactor-platform.lemonseed-compact-foundation-cogen
lemonseed-compact-foundation-cogen
LemonSeed — compact foundation teacher-co-gen training (v2).
Contents
intelligent_compact_foundation_train_v2.jsonl (88 rows)
Format
JSON Lines (.jsonl), one example per line.
Provenance
LLM-teacher co-generated instruction/chat data for LemonSeed fine-tuning.
CompactDS-102GB-queriesroller-compaction-ribbon-density
Roller Compaction: Ribbon Density vs. Process Parameters (Synthetic)
Version: 1.0
Publisher: Innovative Process Applications (IPA)
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Contact: Crestwood, IL, USA
⚠️ This dataset is 100% synthetic and intended for educational use only.
It was generated from a published physical model (Johanson rolling theory + Heckel densification) — not measured on any real equipment, customer, or production batch. Do not use it for… See the full description on the dataset page: https://huggingface.co/datasets/Innovative-Process-Applications/roller-compaction-ribbon-density.oat_teacher_7b_sft_len16k_0627-response-20250705_054729-student_response-verified-compactDry-Granulation_Roll-Compaction_and_Milling
Dry Granulation: Multi-Material Roll Compaction & Milling (Synthetic)
Version: 1.0
Publisher: Innovative Process Applications (IPA)
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Contact: Crestwood, IL, USA
This dataset is 100% synthetic and intended for educational use only.
It was generated from published physical models and real compactor specifications —
not measured on any real equipment, customer, or production batch. Do not use it for
regulatory… See the full description on the dataset page: https://huggingface.co/datasets/IPA-Marketing/Dry-Granulation_Roll-Compaction_and_Milling.droid_1.0.1_v30_compact_5-dc_ae-6x10-0_1000-para-wpropcompact_de_classifiedoat_teacher_7b_sft_len16k_0627-response-20250705_054332-student_response-verified-compactoat_teacher_7b_sft_len16k_0627-response-20250705_054230-student_response-verified-compactoat_teacher_7b_sft_len16k_0627-response-20250705_054020-student_response-verified-compactoat_teacher_7b_sft_len16k_0627-response-20250705_054015-student_response-verified-compactoat_teacher_7b_sft_len16k_0627-response-20250705_053841-student_response-verified-compact