To search datasets programmatically: GET https://api.databazaar.io/datasets?query=your-search
Full API docs: https://api.databazaar.io/llms.txt
Agent discovery: https://databazaar.io/.well-known/agent.json
Browse Data
73–96 of 239Yambda-5B: Large-Scale Music Recommendation Dataset (4.79B Interactions)
Industrial-scale music recommendation dataset from Yandex with 4.79B user-item interactions across 1M users and 9.39M tracks, including organic and recommendation interactions plus audio embeddings.
LongCoT: Long-Horizon Reasoning Benchmark
Benchmark for evaluating sustained long chain-of-thought reasoning across logic, computer science, chemistry, chess, and mathematics. Parquet format, MIT licensed.
EO-Data-1.5M: Interleaved Vision-Text-Action Dataset for Embodied AI
1.5M-sample interleaved vision-language-action dataset for embodied AI and robot learning, emphasizing temporal dynamics and causal dependencies across modalities. Apache-2.0 licensed, parquet format.
ChemBench — Chemistry & Materials LLM Evaluation Benchmark
Manually curated benchmark for evaluating chemistry and materials science capabilities of LLMs. Expert-generated QA and multiple-choice items. MIT licensed, evaluation-only.
FLUX-Reason-6M: 6M Reasoning-Focused Text-to-Image Dataset
6 million high-quality images synthesized by FLUX.1-dev with 20M bilingual (English/Chinese) descriptions, engineered to instill complex reasoning capabilities in text-to-image generative models.
Text-to-Image 2M: Curated Text-Image Pair Training Dataset
~2M curated high-quality text-image pairs in webdataset format, designed for fine-tuning text-to-image generative models. MIT licensed.
UGMathBench: Undergraduate Math Reasoning Benchmark
5,062 undergraduate-level math problems across 16 subjects and 111 topics, with 10 answer types and 3 randomized versions each. Designed for evaluating LLM mathematical reasoning.
Common Crawl Creative Commons Fine (C5f) — Multilingual High-Quality Web Corpus
Filtered Creative Commons web corpus from Common Crawl, intersected with FineWeb/FineWeb-2 for quality. Multilingual (EN, DE, FR, NL, ES, IT, AF, FY), 10M-100M rows, Parquet format. Ideal for LLM pretraining and fine-tuning.
TreeOfLife-10M: 10M Biological Organism Images with Taxonomic Labels
Largest ML-ready dataset of biological organism images (10M+ images, 454K taxa) paired with taxonomic labels. Aggregates iNat21, BIOSCAN-1M, and Encyclopedia of Life. Used to train BioCLIP and similar vision-language models.
MMFineReason-SFT-123K (Qwen3-VL-235B Thinking Traces)
123K hardest-7% multimodal reasoning samples with Qwen3-VL-235B chain-of-thought traces. Curated SFT subset of MMFineReason-1.8M where smaller models consistently fail. Apache-2.0, parquet, image+text.
MASSIVE: Multilingual NLU Dataset (51 Languages, 1M+ Utterances)
Parallel multilingual NLU benchmark from Amazon Science with 1M+ utterances across 51 languages, annotated with 60 intents and 55 slot types. Built by localizing SLURP voice assistant interactions.
Salad-Data: LLM Safety & Jailbreak Evaluation Benchmark
21K+ safety questions for LLM red-teaming and jailbreak evaluation, aggregated from HH-RLHF, AdvBench, ToxicChat, GPTFuzzer, and GPT-3.5 self-instructed prompts. Apache-2.0 licensed.
US Stocks & ETFs 1-Minute Bars (2016–Present)
Minute-level OHLCV bars for US stocks and ETFs from 2016 onward, scraped from the Alpaca Markets Historical Bars API. Parquet format, 100M+ rows, MIT licensed.
CodeParrot Clean — Deduplicated Python Code from GitHub
Cleaned, deduplicated corpus of Python files scraped from GitHub. Filtered for line length, alphanumeric fraction, and auto-generated content. Widely used for code LM pretraining and fine-tuning.
MASC: Massive Arabic Speech Corpus (1,000 hours, multi-dialect)
1,000 hours of multi-dialect Arabic speech (16 kHz) crawled from 700+ YouTube channels with transcripts. Parquet format, CC-BY-4.0. For Arabic ASR, TTS, and speech LLM training/eval.
WorldCuisines VQA — Multilingual Multicultural Visual QA on Global Cuisines
Massive-scale multilingual, multicultural VQA benchmark covering global cuisines across 30 languages. NAACL 2025 Best Theme Paper. Images + text questions/answers for vision-language evaluation and fine-tuning.
LLM-jp-4 Thinking — Japanese Reasoning SFT Dataset
~3.2M supervised fine-tuning examples used to train the llm-jp-4 "thinking" models. Prompts drawn from diverse sources are paired with generated step-by-step reasoning traces and final responses for chain-of-thought training.
MAPS: Multilingual Agentic AI Benchmark (Performance & Security)
805-task multilingual benchmark for evaluating agentic AI across 11 languages, combining performance tasks (GAIA, SWE-bench, MATH) with Agent Security Benchmark tasks. CC-BY-4.0.
Weather Geo ERA5 — 1.065B Global Weather Records (1940-2025)
1.065 billion ERA5 reanalysis weather records covering 85+ years (1940-2025) of global weather at 0.25° resolution, geographically partitioned parquet for efficient regional queries.
Falcon RefinedWeb
Massive English web corpus (~600M docs) from TII, built via stringent filtering and deduplication of CommonCrawl. Powers the Falcon LLM family. ODC-By 1.0 licensed, parquet format.
GSM8K — Grade School Math Word Problems (OpenAI)
8.5K linguistically diverse grade-school math word problems with step-by-step solutions. Standard benchmark for multi-step arithmetic reasoning in LLMs.
OpenWebMath: 14.7B Tokens of Mathematical Web Text
6.3M high-quality mathematical documents (14.7B tokens) filtered from 200B+ Common Crawl HTML files. Parquet format, ideal for LLM math pretraining and fine-tuning.
Nemotron-Math-v2: Mathematical Reasoning Trajectories (NVIDIA)
NVIDIA's 347K math problems with 7M model-generated reasoning trajectories for distilling mathematical reasoning. Long-context, tool-use, multi-mode supervision. CC-BY-4.0/CC-BY-SA-4.0.
OpenOrca — Augmented FLAN Instruction Dataset
~4M GPT-4/GPT-3.5 augmented FLAN instruction-response pairs aligned with the Orca paper distribution. Widely used for instruction tuning and fine-tuning open LLMs.