datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
laions_got_talent
LAION's Got Talent: Generated Voice Acting Dataset
Overview
"LAION's Got Talent" is a generated dataset comprising voice acting samples that exhibit a wide range of emotions, vocal bursts, topics, and content. This dataset is a component of the BUD-E project, spearheaded by LAION with support from Intel.
Dataset Composition
The dataset includes:
Emotional Diversity: Samples portraying various emotions to facilitate research in emotional recognition and… See the full description on the dataset page: https://huggingface.co/datasets/laion/laions_got_talent.laions_got_talent_rawlaions_got_talent_with_voice_emotion_speed_tags_for_orpheus_tuningLAION's Got Talent: Generated Voice Acting Dataset
Overview
"LAION's Got Talent" is a synthetic voice acting dataset designed to offer a broad range of emotional expressions, vocal bursts, and multi-language utterances. This dataset is a component of the BUD-E project, led by LAION with support from Intel, and aims to drive forward research in context-aware and empathetic AI voice assistants.
Updated Composition
Voices and Languages
English: 11 OpenAI voices, each… See the full description on the dataset page: https://huggingface.co/datasets/laion/laions_got_talent_with_voice_emotion_speed_tags_for_orpheus_tuning.laions_got_talent_enhanced_no_metadatalaions_got_talent_embs_only
laions_got_talent Whisper Embeddings (Embeddings + Metadata Only)
This dataset contains Whisper embeddings (NPY) and metadata (JSON). The original audio files (MP3) are NOT included.
Embeddings computed with: mkrausio/EmoWhisper-AnS-Small-v0.1
Includes original audio: No
Includes metadata: Yes (JSON)
Includes embeddings: Yes (NPY)
Creation date: 2025-05-11
laions_got_talent_german_bicodecLaion-Aesthetics-High-Resolution-GoT
Laion-Aesthetics-High-Resolution-GoT
Paper
Dataset Description
The Laion-Aesthetics-High-Resolution-GoT dataset is a collection of 3.77 million image-text pairs with rich grounding annotations. This dataset extends high-quality images from the LAION-Aesthetics collection with detailed text descriptions and object-level grounding information.
Key Features
Size: 3.77 million samples
Modalities: Image, Text, and Grounding Annotations
Image Resolution:… See the full description on the dataset page: https://huggingface.co/datasets/LucasFang/Laion-Aesthetics-High-Resolution-GoT.kraken-trading-data
📈 Kraken Trading Data Collection
Overview
High-frequency cryptocurrency market data from Kraken exchange - perfect for algorithmic trading, time-series forecasting, and market microstructure analysis.
This dataset includes real-time price, volume, and order book data for 9 major cryptocurrency trading pairs, collected via WebSocket streaming and REST API polling.
📊 Included Trading Pairs
Pair
Asset
Base Currency
Typical Daily Volume
XXBTZUSD… See the full description on the dataset page: https://huggingface.co/datasets/GotThatData/kraken-trading-data.got-activations-llama3.1-405b-base
meta-llama/Llama-3.1-405B — Activation Dataset
Cached activations extracted from meta-llama/Llama-3.1-405B (revision unknown).
Contents
Tensor
Layers
Dim
Pooling
Shards
Row Bytes
hidden_layers
0-125
16384
-
12
-
Prompts: 7660
Format version: 1.1
Load with lmprobe
from lmprobe import pull_dataset, load_activation_dataset
# Option 1: Pull into local cache (enables probe training without re-extraction)… See the full description on the dataset page: https://huggingface.co/datasets/latent-lab/got-activations-llama3.1-405b-base.got-activations-qwen2.5-0.5b
Qwen/Qwen2.5-0.5B — Activation Dataset
Cached activations extracted from Qwen/Qwen2.5-0.5B (revision 060db6499f32faf8b98477b0a26969ef7d8b9987).
Full-sequence activations (24 layers, 896 dim, float16) and top-100 logits from Qwen/Qwen2.5-0.5B on 7,660 Geometry of Truth statements. Per-layer sharding (v1.2) with independent shard boundaries.
Contents
Tensor
Layers
Dim
Pooling
Shards
Row Bytes
hidden_layers
0-23
896
-
1
-
logits_topk
-
k=100
last_token
1
1200… See the full description on the dataset page: https://huggingface.co/datasets/latent-lab/got-activations-qwen2.5-0.5b.laions_got_talent_previewOmniEdit-GoTgot-activations-llama3.1-70b-base
meta-llama/Llama-3.1-70B — Activation Dataset
Cached activations extracted from meta-llama/Llama-3.1-70B (revision 349b2ddb53ce8f2849a6c168a81980ab25258dac).
Geometry of Truth curated dataset activations for Llama 3.1 70B base
Contents
Tensor
Layers
Dim
Pooling
Shards
Row Bytes
hidden_layers
0-79
8192
-
4
-
Prompts: 7660
Format version: 2.0
Load with lmprobe
from lmprobe import load_activations, Probe
acts =… See the full description on the dataset page: https://huggingface.co/datasets/alliedtoasters/got-activations-llama3.1-70b-base.goteborgs_poliskammare_fore_1900_lineslaions_got_talent_orpheus_snacSome Laion's Got Talent (https://huggingface.co/datasets/laion/laions_got_talent) voice snippets converted to snac tokens in the format of the Orpheus-TTS https://github.com/canopyai/Orpheus-TTS
We converted the data into instructions like format.
The snac data is in 7 token frame groups. See the Orpheus blog for more details: https://canopylabs.ai/model-releases
We did not create the original dataset and are only providing snac token with minimal text instructions for ease of use.
You must be… See the full description on the dataset page: https://huggingface.co/datasets/laion/laions_got_talent_orpheus_snac.cad-benchmark-leaderboardgo-treesitter-filtered-datasetsV2
Go CodeSearch Dataset (Shuu12121/go-treesitter-filtered-datasetsV2)
Dataset Description
This dataset contains Go functions and methods paired with their GoDoc comments, extracted from open-source Go repositories on GitHub.
It is formatted similarly to the CodeSearchNet challenge dataset.
Each entry includes:
code: The source code of a go function or method.
docstring: The docstring or Javadoc associated with the function/method.
func_name: The name of the… See the full description on the dataset page: https://huggingface.co/datasets/Shuu12121/go-treesitter-filtered-datasetsV2.Got_Agentic_AI_5k
Got_Agentic_AI_5k
A 5,000-example dataset to train LLMs into production-grade agentic assistants (“Angelic Agents”): high-agency, tool-aware, test-driven, and safety-first.
This dataset focuses on the kinds of tasks real engineering teams and major AI developers care about:
Diff-first coding patches and tests
Planner–executor agent architectures
Evals, monitoring, and rollback discipline
Data engineering transforms with quality checks
Incident postmortems and operational… See the full description on the dataset page: https://huggingface.co/datasets/11-47/Got_Agentic_AI_5k.gothenburg-price-tagGOT10k-I2V
GOT-10k Image-to-Video Retrieval
MTEB/MOEB representation of the GOT-10k validation split for image-to-video retrieval.
Task
Given the first frame of a tracking sequence, retrieve the full tracking video. The mapping is one-to-one: each query has exactly one
relevant item (the other direction of the same sequence).
Contents
Queries: 180 first-frame images
Corpus: 180 tracking videos
Qrels: 180 one-to-one binary relevance judgments… See the full description on the dataset page: https://huggingface.co/datasets/rakshi719/GOT10k-I2V.GOT10k-V2I
GOT-10k Video-to-Image Retrieval
MTEB/MOEB representation of the GOT-10k validation split for video-to-image retrieval.
Task
Given a tracking video, retrieve its corresponding first frame. The mapping is one-to-one: each query has exactly one
relevant item (the other direction of the same sequence).
Contents
Queries: 180 tracking videos
Corpus: 180 first-frame images
Qrels: 180 one-to-one binary relevance judgments
Source
GOT-10k… See the full description on the dataset page: https://huggingface.co/datasets/rakshi719/GOT10k-V2I.laions-got-talent-enhanced-precomputed-en
LAION's Got Talent Enhanced Precomputed English
This dataset contains the precomputed embeddings of the LAION's got talent enhanced dataset english split at 16kHz.
The audio was preprocessed with TuKoResearch/AuriStream100M_RoPE_librilight and the text transcriptions were preprocessed with google/embeddinggemma-300m.
@inproceedings{tuckute2025cochleartokens,
title = {Representing Speech Through Autoregressive Prediction of Cochlear Tokens},
author = {Greta Tuckute and… See the full description on the dataset page: https://huggingface.co/datasets/Vano04/laions-got-talent-enhanced-precomputed-en.go-treesitter-dedupe_doc-filtered-dataset
Go CodeSearch Dataset (Shuu12121/go-treesitter-dedupe_doc-filtered-dataset)
Dataset Description
This dataset contains Go functions and methods paired with their GoDoc comments, extracted from open-source Go repositories on GitHub.
It is formatted similarly to the CodeSearchNet challenge dataset.
Each entry includes:
code: The source code of a go function or method.
docstring: The docstring or Javadoc associated with the function/method.
func_name: The name of the… See the full description on the dataset page: https://huggingface.co/datasets/Shuu12121/go-treesitter-dedupe_doc-filtered-dataset.GOT_Defense_1
GOT_Defense_1
Professional pretraining corpus for defensive security LLMs. Rebuilt 2026-07-14.
Records: 186,104 | Avg length: 377 chars | Dedup SHA256 | Split 95/5
This dataset merges 12 Kaggle sources into one high-quality text field optimized for causal LM pretraining:
jeffborschowa/malwarebazaar-threat-intelligence-csv
oriolakolawole/ransomware-and-goodware-pe-header
joebeachcapital/tunadromd-malware-detection
atharvasoundankar/global-cybersecurity-threats-2015-2024… See the full description on the dataset page: https://huggingface.co/datasets/11-47/GOT_Defense_1.gotriple-pretraining-dataset
GoTriple Pretraining dataset
Summary
The GoTriple Pre-training Dataset is a multilingual corpus built from open-access research artefacts harvested via the GoTriple platform. It focuses on Social Sciences and Humanities (SSH) content, addressing their limited presence in standard LLM pre-training corpora.
Current release includes History, Sociology, Environmental Sciences, Psychology and Geography texts (~23.14B tokens).
Intended Use
Continuous… See the full description on the dataset page: https://huggingface.co/datasets/odoma/gotriple-pretraining-dataset.laions-got-talent-annotatedVC-LLM-DatasetDue to the presence of harmful and toxic unsafe content in the fine-tuning data, a portion of the data is displayed. For the full data, please contact ignitesun@163.com.
warp_Research
Warp Research Dataset
Dataset Description
Dataset Summary
This dataset contains experimental results from warp field research, focusing on the relationship between warp factors, energy efficiency, and field characteristics.
Supported Tasks
Tabular Regression: Predict energy efficiency based on warp field parameters
Time Series Forecasting: Analyze temporal patterns in warp field behavior
Optimization: Identify optimal warp factor configurations for… See the full description on the dataset page: https://huggingface.co/datasets/GotThatData/warp_Research.GOT_Defense_2
GOT_Defense_2 Full - Per-file fallback
Rebuilt 2026-07-14 with HF_HUB_DISABLE_XET=1, hf_xet removed, per-file skip on 403.
Sources Fenrir 99k + Bouquets CVE (CVE-2021..2025, skips broken XET file) + WNT3D (keeps 6 files, skips massive_training if 403)
Records 244,761 avg 1746 split 95/5
Usage load_dataset("11-47/GOT_Defense_2")
GOT_HQ_Merged_75k
HQ-Merged-Dataset
A high-quality merged dataset that samples 5,000 examples from each of 16 diverse sources
every time it is run, normalises them into a unified schema, and pushes the result to Hugging Face.
Quick Stats
Metric
Value
Total examples
75,000
Number of sources
16
Sampling strategy
Shuffle(seed=42) + take(5000) per source
Generated
2026-05-30 00:12 UTC
Category Breakdown
Category
Count
reasoning
25,000… See the full description on the dataset page: https://huggingface.co/datasets/11-47/GOT_HQ_Merged_75k.