datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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}
software_requirementscatalan-dictionary
Dataset Card for ca-text-corpus
Descripció (ca)
En aquest repositori s'apleguen llistes de paraules etiquetades amb la categoria gramatical, usades per a construir eines com correctors ortogràfics i gramaticals.
Dataset Summary
Catalan word lists with part of speech labeling curated by humans. Contains 1 180 773 forms including verbs, nouns, adjectives, names or toponyms. These word lists are used to build applications like Catalan spellcheckers or… See the full description on the dataset page: https://huggingface.co/datasets/softcatala/catalan-dictionary.khazri-corpus
Khazri Corpus
A clean, high-quality Azerbaijani text corpus built from 570+ books.
570+ kitabdan hazırlanmış təmiz, yüksək keyfiyyətli Azərbaycan dili mətn korpusu.
English · Azərbaycanca
Language / Dil
Azerbaijani (az)
Total rows / Ümumi sətir sayı
~840K
Source books / Mənbə kitablar
570+ (300+ fiction · 200+ scientific · 70+ political)
Format
Parquet / JSONL, single text field
License / Lisenziya
CC BY-NC-ND 4.0
Used to train / Təlimdə istifadə olunub… See the full description on the dataset page: https://huggingface.co/datasets/softyugroup/khazri-corpus.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.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.mantinc-catalan-drift
Mantinc — Catalan Drift Benchmark
Descripció (ca)
Mantinc és un banc de proves que avalua si un model de llenguatge continua
responent en català quan el missatge, la conversa prèvia o el context recuperat
l'empenyen a fer-ho en una altra llengua, normalment el castellà o l'anglès.
Dataset Description
Mantinc is a benchmark that measures whether a language model keeps answering
in Catalan when the prompt, prior conversation, or retrieved context… See the full description on the dataset page: https://huggingface.co/datasets/softcatala/mantinc-catalan-drift.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.open-source-english-catalan-corpus
Dataset Card for open-source-english-catalan-corpus
Dataset Summary
Translation memory built from more than 180 open source projects. These include LibreOffice, Mozilla, KDE, GNOME, GIMP, Inkscape and many others. It can be used as translation memory or as training corpus for neural translators.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
Catalan (ca)
English (en)
Dataset Structure
Data Instances
[More… See the full description on the dataset page: https://huggingface.co/datasets/softcatala/open-source-english-catalan-corpus.Softcatala-Web-Texts-Dataset
Dataset Card for Softcatala-Web-Texts-Dataset
Dataset Summary
This repository contains Softcatala website content (articles and programs descriptions).
Dataset size:
articles.json contains 623 articles with 373233 words.
programes.json contains 330 program descriptions with 49868 words.
The license of the data is Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) or Universal Public Domain Dedication (CC0 1.0)
Supported Tasks and Leaderboards… See the full description on the dataset page: https://huggingface.co/datasets/softcatala/Softcatala-Web-Texts-Dataset.biomed-fr-v3-enriched-softmin-standard
biomed-fr-v3-enriched-softmin-standard
This dataset is a quality-upsampled version of rntc/biomed-fr-v3-enriched using soft-min bottleneck sampling.
Preprocessing Method
Soft-min calculation:
Formula: s = (mean(q_k^p))^(1/p) where q_k are the 4 quality scores
Parameter p = -2.0
Weight computation:
Ratio preference (5 vs 1): R = 10
Gamma exponent: γ = 1.43 (computed as log(R)/log(5))
Weight formula: w = s^γ
Floor: w = max(w, median(w) × 0.05)
Resampling:
Target size:… See the full description on the dataset page: https://huggingface.co/datasets/rntc/biomed-fr-v3-enriched-softmin-standard.cosimo-cfa-frm-71k
Cosimo: Synthetic CFA/FRM Financial Reasoning Dataset
Cosimo is a synthetic, code-verified financial-exam question dataset for
training reasoning models and preference-tuned (DPO/ORPO) models. It contains
71,000 original, numerically-grounded questions spanning the CFA Level I–III
and FRM Part 1/2 curricula, each with a step-by-step chain-of-thought reasoning
trace.
Every numerical answer is computed by reference code, never sampled from a
language model. Reasoning traces are… See the full description on the dataset page: https://huggingface.co/datasets/btech-software/cosimo-cfa-frm-71k.database-query-logs-synthetic
Database Query Logs (synthetic)
3,995 database query-log entries spanning 10 engines - MySQL, PostgreSQL, MongoDB, SQL
Server, Oracle, MariaDB, SQLite, Cassandra, Redis, and Elasticsearch - with query text,
type, complexity, execution timing, and row-count metadata.
These queries are synthetic
The queries were programmatically generated, not captured from production systems.
They were produced by templating a set of query shapes across industry-flavored schema… See the full description on the dataset page: https://huggingface.co/datasets/robworks-software/database-query-logs-synthetic.biomed-fr-v3-enriched-softmin-leger
biomed-fr-v3-enriched-softmin-leger
This dataset is a quality-upsampled version of rntc/biomed-fr-v3-enriched using soft-min bottleneck sampling.
Preprocessing Method
Soft-min calculation:
Formula: s = (mean(q_k^p))^(1/p) where q_k are the 4 quality scores
Parameter p = -0.7
Weight computation:
Ratio preference (5 vs 1): R = 5
Gamma exponent: γ = 1.00 (computed as log(R)/log(5))
Weight formula: w = s^γ
Floor: w = max(w, median(w) × 0.05)
Resampling:
Target size: Same… See the full description on the dataset page: https://huggingface.co/datasets/rntc/biomed-fr-v3-enriched-softmin-leger.SwiftUI-Code-Examples
SwiftUI Code Solutions
Dataset Created by MCES10 Software has SwiftUI Code Problems and can be used for AI training for Code Generation
Recommendations
Train your LLM on the Swift and SwiftUI Framework Syntax before training it this
Fine Tune or Train Effectively at optimal Epochs and Learning Rates
Use the whole dataset for training
Your Model may need to be Prompt Tuned for the best performance but it isn't required.
Use test when testing or trialing the dataset
Use… See the full description on the dataset page: https://huggingface.co/datasets/MCES10-Software/SwiftUI-Code-Examples.k12-mathematics-standards-expanded
K-12 Mathematics Standards, expanded (generated instruction data)
4,965 instruction/input/output records for mathematics, generated around a K-12
standards taxonomy for instruction-tuning and educational-content experiments.
How this was built (read this first)
These are programmatically generated training examples, not curriculum written by
educators and not the text of any official standard. A generator combined standards
metadata - codes, grade levels, domains… See the full description on the dataset page: https://huggingface.co/datasets/robworks-software/k12-mathematics-standards-expanded.k12-science-standards
[!WARNING]
Deprecated - use k12-science-standards-expanded instead.
This dataset is superseded: every instruction in this set also appears there, plus 1,123 more and nine additional metadata columns. Nothing here is unique to it.
It stays online so existing references keep resolving, but it will not be updated.
New work should point at robworks-software/k12-science-standards-expanded.
K-12 Science Standards (generated instruction data)
6,787 instruction/input/output records… See the full description on the dataset page: https://huggingface.co/datasets/robworks-software/k12-science-standards.gbag-bench
GBAG-Bench — Grounded BI Answer Generation
A public benchmark for the step after the SQL: how faithfully an LLM interprets a query result into a natural-language answer.
NL2SQL measures half the problem. GBAG measures the other half.
📂 GitHub (harness, judge, leaderboard): softisight/gbag-bench
📊 Live leaderboard: LEADERBOARD.md
📐 Metric & rubric: METRIC.md
🪪 License: MIT (questions & harness) — bundled SQLite samples retain their original licenses
Why this… See the full description on the dataset page: https://huggingface.co/datasets/softisight-ai/gbag-bench.historical-training-manuals
Historical Training Manuals
1,597 US government and government-adjacent training manuals and technical publications
sourced from the Internet Archive, spanning roughly 1800-2021. Records carry
bibliographic metadata; a subset also carries extracted full text and a machine-generated
summary.
Loading
from datasets import load_dataset
ds = load_dataset("robworks-software/historical-training-manuals")
Splits
Split
Rows
train
1,277… See the full description on the dataset page: https://huggingface.co/datasets/robworks-software/historical-training-manuals.k12-ela-standards-expanded
K-12 ELA Standards, expanded (generated instruction data)
12,282 instruction/input/output records for English Language Arts, generated around a K-12
standards taxonomy for instruction-tuning and educational-content experiments.
How this was built (read this first)
These are programmatically generated training examples, not curriculum written by
educators and not the text of any official standard. A generator combined standards
metadata - codes, grade levels… See the full description on the dataset page: https://huggingface.co/datasets/robworks-software/k12-ela-standards-expanded.agentic-software-conformance
TeaQL Agentic Software Conformance
Machine-readable evidence for the TeaQL Harness: semantic-model evaluation,
generated artifacts, seven language-native runtimes, executable examples, and
cross-language conformance checks.
This is an evidence dataset, not a leaderboard and not a collection of
unverified model claims. Each row identifies its evidence level, exact source,
verification date, revisions where available, command or gate, result, and
important qualifications. The… See the full description on the dataset page: https://huggingface.co/datasets/teaql/agentic-software-conformance.texas-k12-curriculum-standards-teks
Texas K-12 Curriculum Standards (TEKS-derived)
15,040 generated learning-objective records organized around the Texas Essential
Knowledge and Skills (TEKS) taxonomy, spanning core academic subjects, Career & Technical
Education clusters, and specialized program areas.
How this was built (read this first)
These records are programmatically generated, not transcribed from official standards
documents. A generator took a standards taxonomy - codes, grade levels… See the full description on the dataset page: https://huggingface.co/datasets/robworks-software/texas-k12-curriculum-standards-teks.k12-mathematics-standards-aligned
[!WARNING]
Deprecated - use k12-mathematics-standards-expanded instead.
This dataset is superseded: every input in this set also appears there, plus 366 more and two additional metadata columns. Nothing here is unique to it.
It stays online so existing references keep resolving, but it will not be updated.
New work should point at robworks-software/k12-mathematics-standards-expanded.
K-12 Mathematics Standards (generated instruction data)
4,397 instruction/input/output records… See the full description on the dataset page: https://huggingface.co/datasets/robworks-software/k12-mathematics-standards-aligned.ccisd-teks-enhanced
CCISD TEKS Enhanced (LLM-generated)
4,224 records built from the same 428 TEKS expectations as
ccisd-teks-training,
with additional LLM-written fields: detailed explanations, real-world applications,
prerequisite knowledge, common misconceptions, teaching strategies, assessment examples,
cross-curricular connections, and learning progressions.
The added content is LLM output and was not reviewed
The enrichment fields were generated by a language model. No educator… See the full description on the dataset page: https://huggingface.co/datasets/robworks-software/ccisd-teks-enhanced.k12-social-studies-standards
K-12 Social Studies Standards (generated instruction data)
15,982 instruction/input/output records for social studies (civics, history, geography, economics), generated around a K-12
standards taxonomy for instruction-tuning and educational-content experiments.
How this was built (read this first)
These are programmatically generated training examples, not curriculum written by
educators and not the text of any official standard. A generator combined standards… See the full description on the dataset page: https://huggingface.co/datasets/robworks-software/k12-social-studies-standards.nanoset
Sourceworks NanoSet
NanoSet is an experimental dataset where the main goal is to create a usable chatbot through less training data.
What is in NanoSet?
NanoSet is divded into 3 major sections, containg 36 entries divided into 6 sub-topics. The structure creates 108 total lines of training data, which may be subject to change in the future. The following is a visual on the structure:
108 entries total
3 Sections, each with 36 entries:
Chat Basics (Greetings, Jokes, etc.)… See the full description on the dataset page: https://huggingface.co/datasets/srcworks-software/nanoset.k12-business-economics-standards
K-12 Business and Economics Standards
1,236 generated learning-objective records covering financial literacy, personal finance,
entrepreneurship, business management, and career development, organized around the
Jump$tart Personal Financial Education and NBEA Business Education standard structures.
How this was built (read this first)
These records are programmatically generated, not transcribed from official standards
documents. A generator took a standards… See the full description on the dataset page: https://huggingface.co/datasets/robworks-software/k12-business-economics-standards.ccisd-teks-training
[!WARNING]
Deprecated - use ccisd-teks-enhanced instead.
This dataset is superseded: both cover the same 3,628 inputs, but that one carries eight further columns (teaching strategies, misconceptions, assessment examples and more). Nothing here is unique to it.
It stays online so existing references keep resolving, but it will not be updated.
New work should point at robworks-software/ccisd-teks-enhanced.
CCISD TEKS Training Set (generated)
4,224 instruction-tuning examples… See the full description on the dataset page: https://huggingface.co/datasets/robworks-software/ccisd-teks-training.k12-ela-standards
[!WARNING]
Deprecated - use k12-ela-standards-expanded instead.
This dataset is superseded: every input in this set also appears there, plus 1,433 more and five additional metadata columns. Nothing here is unique to it.
It stays online so existing references keep resolving, but it will not be updated.
New work should point at robworks-software/k12-ela-standards-expanded.
K-12 ELA Standards (generated instruction data)
6,487 instruction/input/output records for English Language… See the full description on the dataset page: https://huggingface.co/datasets/robworks-software/k12-ela-standards.CPP-Code-Solutions
C++ Code Solutions
Features
1000k of Python Code Solutions for Text Generation and Question Answering
C++ 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}