datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
patternsAll datasets used for the patterns project.
Language datasets (c4, Fineweb, Open-Web-Math, and Codeparrot) are tokenized with the HuggingFaceTB/SmolLM2-135M tokenizer.
See runs in https://wandb.ai/bonn/Patterns.
spirit-patternsall_datasets_Qwen3-30B-A3B_moe_patternsbangla-crime-investigation-patterns-v2
Bangla Crime Investigation Patterns V2
This dataset is an anonymized, structured extraction from 1,078 public Bangla crime-investigation video transcripts. It was built to support machine-learning and LLM research on crime-pattern information extraction, case summarization, event sequencing, entity/relationship extraction, and Bengali investigative-report analysis.
The public release does not include raw full transcripts. It contains short redacted evidence snippets linked to… See the full description on the dataset page: https://huggingface.co/datasets/tanziro/bangla-crime-investigation-patterns-v2.gpqa_diamond_Qwen3-30B-A3B_moe_patternsaime2024_Qwen3-30B-A3B_moe_patternsmath-500_Qwen3-30B-A3B_moe_patternswmt16_Qwen3-30B-A3B_moe_patternsxsum_deepseek-moe-16b-chat_token_patternsall_datasets_deepseek-moe-16b-chat_moe_patternsilids-faint-patterns-training-datasetrepro-incremental-learning-of-sparse-attention-patterns-in-transformers-bundle
Reproduction bundle — Incremental Learning of Sparse Attention Patterns in Transformers
ICML 2026 paper #12503 · OpenReview vSRh1qU5sH · arXiv 2602.19143
Everything needed to re-run the reproduction whose results are recorded in the
Trackio logbook GwendalTsang/repro-incremental-learning-of-sparse-attention-patterns-in-transformers.
Layout
upstream/ the authors' official code, vendored unchanged… See the full description on the dataset page: https://huggingface.co/datasets/GwendalTsang/repro-incremental-learning-of-sparse-attention-patterns-in-transformers-bundle.pararel_patternsaime2024_Qwen3-30B-A3B_moe_patterns_logitsxsum_Qwen3-30B-A3B_moe_patternspolyglot-bug-patterns
🗃️ Polyglot Bug Patterns
🐝 Dataset ·
🎨 Space ·
🧠 Model ·
💻 GitHub
Bro, imagine a dataset of 43 non-destructive attack payloads across 8 bug
classes — 24 of them polyglot, meaning a single string that's simultaneously
plausible HTML, JS, SQL and shell, so it escapes whatever context your app
dropped it into. Plus real detector output from a full multimodal scan.
Everything here is synthesised or locally generated. No real-world traffic, no
scraped data, no user data.… See the full description on the dataset page: https://huggingface.co/datasets/Kicaulah/polyglot-bug-patterns.mmlu_Qwen3-30B-A3B_moe_patternsmixed-regex-patterns-v1.2Crystallography-Open-Database-XRD-Patterns
Crystallography Open Database — Synthetic XRD Patterns
436,196 synthetic powder X-ray diffraction (XRD) patterns generated from every CIF file in the Crystallography Open Database (COD).
What's in the dataset
Each pattern is a simulated powder diffractogram computed from a published crystal structure. The dataset covers the full chemical and structural diversity of COD: metals, minerals, organics, MOFs, and everything in between. No measured (experimental) patterns are… See the full description on the dataset page: https://huggingface.co/datasets/ohlstrom/Crystallography-Open-Database-XRD-Patterns.ePark_ju_xing_pian_gao_zhong_sentence_patterns_senior_high
FormosanBank publication status
This audio is associated with XML published in the public FormosanBank corpus and uses the same license recorded in that XML: CC BY-NC-SA 4.0. View the published XML. Publication approval is recorded on the corresponding FormosanBank Basecamp card.
FormosanBank/ePark_ju_xing_pian_gao_zhong_sentence_patterns_senior_high
Commercial AI Use is prohibited without prior written permission. See the FormosanBank Terms of Use and AI Use… See the full description on the dataset page: https://huggingface.co/datasets/FormosanBank/ePark_ju_xing_pian_gao_zhong_sentence_patterns_senior_high.gpqa_diamond_deepseek_moe_16b_token_patternsgpqa_diamond_deepseek-moe-16b-chat_moe_patternsBreathing_Cycles_and_Physiological_Patterns_Preview
Harmonic Frontier Audio – Breathing Cycles and Physiological Patterns (Preview, v0.9)
A high-fidelity human vocal dataset designed for AI training, speech research, and expressive voice modeling.
Breathing Cycles and Physiological Patterns (Preview), created by Harmonic Frontier Audio, provides a compact reference set demonstrating the quality, formatting, and metadata conventions used in the Harmonic Frontier Audio Human Vocality Primitives series.
🔎 Summary… See the full description on the dataset page: https://huggingface.co/datasets/Harmonic-Frontier-Audio/Breathing_Cycles_and_Physiological_Patterns_Preview.cavil-license-patterns
Data Description
These are the license patterns currently being used by Cavil, the openSUSE legal review and SBOM system.
Intended Use
This dataset is intended to be used to train machine learning models to identify Open Source licenses. It was curated by the humans of the SUSE legal review team.
License
Licensed under GPL-2.0-or-later.
704_unique_2-candle_patterns
Complete 2-Candle Patterns
Code_Name
Pattern_Description
Pattern_Logic
Standard_Name
Image Reference
Bull_1_GAP_UP_Bull_1
C2 completely above C1
{ H_C-1 > C_C-1 & O_C-1 & L_C-1 C_C-1 > O_C-1 & L_C-1 O_C-1 > L_C-1 H_C0 > C_C0 & O_C0 & L_C0 C_C0 > O_C0 & L_C0 O_C0 > L_C0 L_C0 > H_C-1 }
-
plot_1.png
Bull_1_GAP_UP_Bull_2
C2 completely above C1
{ H_C-1 > C_C-1 & O_C-1 & L_C-1 C_C-1 > O_C-1 & L_C-1 O_C-1 > L_C-1 (C_C0 = H_C0) > O_C0 & L_C0 C_C0 > O_C0 & L_C0… See the full description on the dataset page: https://huggingface.co/datasets/algorembrant/704_unique_2-candle_patterns.xsum_Qwen3-30B-A3B_token_patternsai-system-patterns
AI System Patterns
A compact reference dataset of reusable architectural patterns for modern AI systems.
The dataset focuses on practical system-design concepts across AI agents, orchestration, memory, validation, observability, interoperability, world models, Physical AI, data pipelines, and production operations.
Each row contains:
pattern
category
description
components
use_case
complexity
Example
{
"pattern": "Model Routing",
"category": "Orchestration"… See the full description on the dataset page: https://huggingface.co/datasets/ai-systems/ai-system-patterns.knitting_patternsresponse-patternsResponse data for "A Psychology-based Unified Dynamic Framework for Curriculum Learning", accepted at Computational Linguistics journal.
This data can be used in conjunction with the GitHub repository for the paper.
Citation
If you use this code, please cite our paper:
@article{meng2025psychology,
title={A Psychology-based Unified Dynamic Framework for Curriculum Learning},
author={Meng, Guangyu and Zeng, Qinkai and Lalor, John P. and Yu, Hong},
journal={Computational… See the full description on the dataset page: https://huggingface.co/datasets/nd-ball/response-patterns.flutter-reactive-patterns-evaluation