datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
harmless_alpaca_jaJapanese auto-translation of mlabonne/harmless_alpacausing llmfan46/gemma-4-31B-it-qat-q4_0-uncensored-heretic-NVFP4-GGUF
Python-Code-Solutions
Python Code Solutions
Features
1000k of Python Code Solutions for Text Generation and Question Answering
Python Coding Problems labelled by topic and difficulty
Recommendations
Train your Model on Logical Operations and Mathematical Problems Before Training it on this. This is optional for Fine Tuning 2B parameter + models.
Format the prompts in a orderly way when formatting data eg. {question} Solution: {solution} Topic: {topic}
training-embeddingsHarmful-Harmless-100Pairs-JA-HighIntensity
Harmful-Harmless-100Pairs-JA-HighIntensity
This is a small-scale dataset consisting of 100 pairs of high-intensity Harmful / Harmless contrastive data written in Japanese.
⚠️ Important Notice
This dataset intentionally contains harmful, explicit, offensive, disturbing, biased, or otherwise inappropriate content for research and evaluation purposes. Some entries may describe dangerous, illegal, abusive, or unethical activities in substantial detail.
The inclusion… See the full description on the dataset page: https://huggingface.co/datasets/OS-Software/Harmful-Harmless-100Pairs-JA-HighIntensity.software_slacksSoftware-Engineering-Dataset_90_10software_requirementsarxiv-softwares-2021United_States_State_Legislation_with_SummariesTest Push
software-strategist-v1
Software Fundamentals — Strategy Knowledge Base
A language-agnostic knowledge base of software engineering fundamentals, paired with a synthetic instruction-tuning dataset (~13,500 examples) for training small language models (SLMs) as software engineering strategists.
The trained model takes a description of a coding situation and routes it to relevant concepts, outputting synthesized strategic guidance as structured JSON.
Dataset Summary
This dataset provides ~13… See the full description on the dataset page: https://huggingface.co/datasets/jtregunna/software-strategist-v1.2023-1000-software-release-notesus-k12-schools-directory
US K-12 Schools Directory
A directory of 124,613 US K-12 schools covering all 50 states, DC, and US territories,
compiled from federal and state government sources. Each record carries directory
information (address, phone, website), enrollment and demographics, and, where a source
supplied it, a principal name and email.
This is a compilation of public government data. It is not a survey, and no field was
independently verified against the school itself.
Loading… See the full description on the dataset page: https://huggingface.co/datasets/robworks-software/us-k12-schools-directory.k12-standards-instruction-tasks
K-12 Curriculum Tasks (generated)
2,489 generated instruction/input/output records covering five curriculum tasks:
assessment creation, learning objective generation, misconception detection, standard
explanation, and standards Q&A. Content is predominantly mathematics.
Important: the name is misleading
Despite the name, this dataset contains no school directory data. There are four
columns - task, input, output, metadata - and no staff, principal, or school… See the full description on the dataset page: https://huggingface.co/datasets/robworks-software/k12-standards-instruction-tasks.olmocr_science_pdfs-software_developmenthttps://huggingface.co/datasets/allenai/dolma3_pool/tree/main/data/olmocr_science_pdfs-software_development
OmniGIRLThis repository contains the data presented in OmniGIRL: A Multilingual and Multimodal Benchmark for GitHub Issue Resolution. OmniGIRL is a GitHub issue resolution benchmark that is multilingual, multimodal, and multi-domain. It includes 959 task instances collected from repositories across four programming languages (Python, JavaScript, TypeScript, and Java) and eight different domains.
datapoints_round1_dpsk_software_engineering_shard1_daytona_n100k1arxiv-software-repo-links
arXiv Software Repository Links
A dataset mapping arXiv papers (via DOI) to software repositories they reference or which are implementations of the work. Additionaly includes co-citation analysis and community clustering.
Implementation detection is conducted using the evamxb/dev-author-em-clf model from sci-soft-models
Quick Start
from datasets import load_dataset
# Load DOI-to-repo links
links = load_dataset("cometadata/arxiv-software-repo-links", "links")
#… See the full description on the dataset page: https://huggingface.co/datasets/cometadata/arxiv-software-repo-links.software-architecture-instructions-preferenceg2-software-reviews
G2 Software Reviews
111,441 B2B software reviews from G2, covering the 79 most-reviewed products, spanning 2012 to 2026.
The largest public G2 review corpus by a wide margin. Before this, the biggest available was a sample of under 1,000 rows.
What is in here that is not in other review datasets
A structured pros-and-cons split on 35,137 reviews. G2 asks "what do you like best" and "what do you dislike" as separate prompts, so those are separate columns rather… See the full description on the dataset page: https://huggingface.co/datasets/FreshCrawl/g2-software-reviews.SweSetupBench-liteThis repository contains the data presented in SWE-Factory: Your Automated Factory for Issue Resolution Training Data and Evaluation Benchmarks.
Software-Architectural-FrameworksSoftware-Architectural-Frameworks
I am releasing a small dataset covering topics related to Frameworks under Software-Architecture.
I have included following topics:
TOGAF
Zachman Framework
IEEE 1471
Matrix-based approach to architecture development
Significance of IEEE 1471 (ISO/IEC 42010)
Benefits of employing architectural frameworks
and Many More!
This dataset can be useful in LLM development. Also those who are working on developing Software development related LLMs then this dataset can… See the full description on the dataset page: https://huggingface.co/datasets/ajibawa-2023/Software-Architectural-Frameworks.olmocr_science_pdfs-softwarehttps://huggingface.co/datasets/allenai/dolma3_pool/tree/main/data/olmocr_science_pdfs-software
jeopardy-clues
Jeopardy! Clues
568,068 Jeopardy! clues with their answers, categories, dollar values, air dates, and
round information, compiled from publicly archived, community-maintained transcriptions
of aired episodes.
Loading
from datasets import load_dataset
ds = load_dataset("robworks-software/jeopardy-clues")
science = ds["train"].filter(lambda x: x["category"] == "SCIENCE")
Splits
Split
Rows
train
482,857
validation
42,605
test
42,606… See the full description on the dataset page: https://huggingface.co/datasets/robworks-software/jeopardy-clues.Software-Engineering-Dataset_70_30_ENsoftware-documentation-zsm-bitextmining
software-documentation-zsm-bitextmining
Deduplicated copy of kornwtp/software-documentation-zsm-bitextmining,
part of the SEA-BED data-quality work.
Source dataset: kornwtp/software-documentation-zsm-bitextmining
Deduplicated on: 2026-09-04
Task type: bitext_mining
Splits: train
What changed
Duplicate (source, target) pairs collapsed to one row, and per-side duplicate sources/targets collapsed so the split has a retrieval ceiling of 1.0 on both sides. Every… See the full description on the dataset page: https://huggingface.co/datasets/puttatidam/software-documentation-zsm-bitextmining.nemotron-terminal-software_engineering
nemotron-terminal-software_engineering
Per-source partition of nvidia/Nemotron-Terminal-Corpus,
filtered to source == "software_engineering". The difficulty column preserves the original
easy / medium / mixed split (na for the dataset_adapters/* files, which
did not carry a difficulty label).
Partitioning scheme:
adapters_{code,math,swe} — rows from dataset_adapters/{code,math,swe}.parquet
{skill} (e.g. debugging, security, …) — rows from
synthetic_tasks/skill_based/{easy,medium… See the full description on the dataset page: https://huggingface.co/datasets/laion/nemotron-terminal-software_engineering.capterra-b2b-software-reviews
Capterra B2B Software Reviews
56,606 B2B software reviews from Capterra, covering 66 products across 11 software categories.
Most public review datasets are star rating + review text. This one carries five separate rating dimensions, pros and cons as distinct pre-split fields, reviewer firmographics, and, unusually, an incentive disclosure flag recording whether the reviewer was given a gift card, referred by the vendor, or wrote the review unprompted.
Why this is… See the full description on the dataset page: https://huggingface.co/datasets/FreshCrawl/capterra-b2b-software-reviews.software-documentation-tha-bitextmining
software-documentation-tha-bitextmining
Deduplicated copy of kornwtp/software-documentation-tha-bitextmining,
part of the SEA-BED data-quality work.
Source dataset: kornwtp/software-documentation-tha-bitextmining
Deduplicated on: 2026-09-04
Task type: bitext_mining
Splits: train
What changed
Duplicate (source, target) pairs collapsed to one row, and per-side duplicate sources/targets collapsed so the split has a retrieval ceiling of 1.0 on both sides. Every… See the full description on the dataset page: https://huggingface.co/datasets/puttatidam/software-documentation-tha-bitextmining.software-documentation-vie-bitextmining
software-documentation-vie-bitextmining
Deduplicated copy of kornwtp/software-documentation-vie-bitextmining,
part of the SEA-BED data-quality work.
Source dataset: kornwtp/software-documentation-vie-bitextmining
Deduplicated on: 2026-09-04
Task type: bitext_mining
Splits: train
What changed
Duplicate (source, target) pairs collapsed to one row, and per-side duplicate sources/targets collapsed so the split has a retrieval ceiling of 1.0 on both sides. Every… See the full description on the dataset page: https://huggingface.co/datasets/puttatidam/software-documentation-vie-bitextmining.datapoints_round1_dpsk_software_engineering_shard2_daytona_n100k1