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}
dialogue-word-concentration
Dialogue Word Concentration
A reproducible numerical analysis of the Cornell Movie-Dialogs Corpus:
617 movie IDs, 304,439 word-bearing sampled utterances, 3,210,011 words. It
carries per-film measurements and source-matched titles, credited to Cornell.
Built by Inkwell, the IDE for screenwriters.
Change the threshold and inspect the distribution across films in the
interactive explorer,
or read the dialogue methods and sources.
What the files hold
data/films.csv:… See the full description on the dataset page: https://huggingface.co/datasets/Inkwell-Software/dialogue-word-concentration.software_requirementsPACC-P
PACC-P: Parallel Acoustic Confound Corpus, Presentation
PACC-P is 5,992 bona fide speech clips under 50 presentation conditions: additive noise,
babble and music at five SNRs, simulated rooms and echo, band limiting, pitch and tempo changes,
pitch correction, and two compound cafe scenes passed through a codec. Every condition contains the
same 5,992 clips as PACC-T, and every clip has a per-clip record logged at generation time.
It contains no synthetic or spoofed speech. It is… See the full description on the dataset page: https://huggingface.co/datasets/moonscape-software/PACC-P.CVE_CWE_Software_Mapping_Dataset
CVE-CWE Software Weakness Mapping Dataset
Dataset description
This dataset maps Common Vulnerabilities and Exposures (CVEs) to Common Weakness Enumeration (CWE) entries in the CWE-699 Software category. It combines CVE descriptions with CWE descriptions and parent-category information for security research and vulnerability classification.
Dataset structure
The dataset is provided as Global_Dataset.csv. Its main fields include:
CVE-ID: CVE… See the full description on the dataset page: https://huggingface.co/datasets/regularpooria/CVE_CWE_Software_Mapping_Dataset.g2-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.chatgpt-software-recommendations
ChatGPT Software Recommendations: 21 Categories, 2,100 Answers
This dataset records which software brands ChatGPT names, recommends and picks when buyers ask about 21 software categories, and which websites it cites. It covers 2,100 ChatGPT answers (100 buyer questions in each of 21 categories), coded brand by brand, with Google's organic top 10 for the same questions as the control.
It is published by High Salience, an AI search and SEO agency. Every file here is also published… See the full description on the dataset page: https://huggingface.co/datasets/highsalience/chatgpt-software-recommendations.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.arxiv-software-engineering-datasetsoftware-engineering-interview-practices-2005-2026
Replication Package: Yesterday's Interviews for Today's Engineers
This repository contains the de-identified analytical data and the Python
reproduction script for:
Vitalii Romaniuk. "Yesterday's Interviews for Today's Engineers:
Retrospective Perceptions and a Work-Aligned Hiring Framework (2005–2026)."
arXiv:2609.14046, 2026.
Paper: https://arxiv.org/abs/2609.14046
Contents
data/survey_responses_deidentified.csv contains the 911 retained survey
records used… See the full description on the dataset page: https://huggingface.co/datasets/Kidomakai/software-engineering-interview-practices-2005-2026.PACC-T
PACC-T: Parallel Acoustic Confound Corpus, Telecoms
PACC-T is 5,992 bona fide speech clips passed through 34 speech and audio codecs,
12 tandem codec chains and 5 resample-only controls. Every condition contains
the same 5,992 clips, so any clip can be compared with itself across all 51 conditions.
Every clip has a per-clip record of the exact commands that produced it.
It contains no synthetic or spoofed speech. It is a reference for what telecom channels do to real
speech: a… See the full description on the dataset page: https://huggingface.co/datasets/moonscape-software/PACC-T.linux-file-search
Linux File Search Dataset
Dataset Summary
The Linux File Search NLI Dataset is a synthetic dataset designed to train and evaluate Natural Language Inference (NLI) models that map natural language file search queries into structured representations of file attributes.
The dataset is intended to enable semantic file search on Linux systems by allowing models to extract structured constraints such as file type, extension, size, ownership, permissions, and other properties… See the full description on the dataset page: https://huggingface.co/datasets/software-si/linux-file-search.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.CloudSurf-4B-FC-bfcl-results
CloudSurf-4B-FC — raw BFCL V4 result files
Raw, unmodified BFCL V4 evaluation outputs backing the leaderboard submission
PR ShishirPatil/gorilla#1357
for CloudSurf-4B-FC
(a google/gemma-4-E4B-it fine-tune, Apache-2.0).
Both sides are included: our tuned runs and the stock gemma-4-E4B-it
baselines re-measured on the identical rig, so every number in the PR can be
recomputed from primary files.
Whiskers are the min–max across the three runs on each side. Stock wins
Irrelevance… See the full description on the dataset page: https://huggingface.co/datasets/cloudsurf-software/CloudSurf-4B-FC-bfcl-results.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}
IFEval-Multi-IF-hy
IFEval-Multi-IF-hy — Armenian IFEval & Multi-IF
Dataset Summary
We introduce IFEval & Multi-IF hy, an Armenian extension of Multi-IF, the benchmark for assessing LLMs' proficiency in following multi-turn and multilingual instructions. Multi-IF itself extends IFEval to multi-turn, multilingual conversations. Multi-IF covers eight languages and does not include Armenian. To build IFEval & Multi-IF hy, the English conversations were first split into two groups:… See the full description on the dataset page: https://huggingface.co/datasets/Center-Of-Advanced-Software-Technologies/IFEval-Multi-IF-hy.software-ai-replaceability
Software AI Replaceability Index
594 enterprise software products scored 0–100 for how completely an AI agent layer could replace or augment them — across CRM, ERP, marketing, support, finance, HR, and dev tools — with a workflow-modularity score and the known AI-native alternative.
Rows: 594
Source: Meo Advisors composite scoring
Methodology + interactive explorer: https://meoadvisors.com/software-ai-replaceability/
Part of: the open AI Workforce Data collection by Meo… See the full description on the dataset page: https://huggingface.co/datasets/Meo-Advisors/software-ai-replaceability.canadian-software-rfp-readiness-dataset
Canadian Software Procurement Notice Dataset
This tabular dataset contains 136 Canadian public software procurement notices selected through a documented rule-based classifier and complete review of all lower-confidence candidates.
Dataset Summary
Essential Designs parsed 16,203 official CanadaBuys tender-notice rows across three fiscal years and deduplicated amendments by notice reference. The classifier produced 167 candidates. Ninety-nine qualified… See the full description on the dataset page: https://huggingface.co/datasets/essentialdesigns/canadian-software-rfp-readiness-dataset.JS-Code-Solutions
Python Code Solutions
Features
1000k of JS Code Solutions for Text Generation and Question Answering
JS 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}
smartphone-conversationtop-alternativeto-softwares-datasoftware-developer-hourly-rates-2026
Software Developer Hourly Rate Benchmarks 2026 (by Platform, Region & Tier)
Open benchmark of software/web developer hourly rates in 2026, segmented by technology platform, geographic region, and delivery tier (independent freelancer vs. team-based agency). Two files:
developer_hourly_rates_2026.csv — 120 rows: platform, region, tier, hourly_low_usd, hourly_median_usd, hourly_high_usd. Platforms include WordPress, Shopify, Magento, WooCommerce, custom (React/Next/Node), and… See the full description on the dataset page: https://huggingface.co/datasets/zimzum1984/software-developer-hourly-rates-2026.2023-1000-software-release-notestaxonomia-software-rrhh
Taxonomía del software de RRHH para pymes (España)
Mapa estructurado del dominio del software de RRHH para pymes españolas: módulos de producto, obligaciones legales que cubre, criterios objetivos para evaluar proveedores, canales de fichaje y planes. Publicado por Nucleo360 como aporte neutral al sector; sirve para comparar cualquier proveedor.
Contenido
taxonomia.csv — con las columnas:
Columna
Descripción
categoria
Tipo de elemento (Módulo… See the full description on the dataset page: https://huggingface.co/datasets/Nucleo360/taxonomia-software-rrhh.2023-3-software-release-notesSoftware_Requirement_from_Application_Marketplace_User_Review_Dataset
About Dataset
Software User Requirements Overview Datasets taken from scraping on Application Marketplaces such as Appstore and Playstore.
Data captured based on time in 2023
PLAYSTORE
APPSTORE
Rows of Data
57576
"7117"
Column
15
15
software_engineering_approachsoftwaresentimentanalysis