datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Digikala-CommentsFibonacci-Pre_Train-Persian-Corpus-Raw-Texts-DatasetDocument Version: 1.0.8 | Last Updated: 01/02/2025
FibonacciAi-CODE-Fine_Tuning-DatasetDocument Version: 1.0.2 | Last Updated: 07/17/2026
Fibonacci-Pre_Train-Persian-Corpus-Raw-Texts-Datasetfibonacci-2025fibonacci_alpaca_to_sharegpt_fromat_dataset_persian_bigFibonacci-Pre_Train-Persian-Corpus-Raw-Texts-Datasetalpaca_fibonacci_mega_datasetPersian-Wikipedia-QAentity-attribute-sft-dataset-GPT-4.0-generated-v1
Entity Attribute Dataset 50k (GPT-4.0 Generated)
Dataset Summary
The Entity Attribute SFT Dataset (GPT-4.0 Generated) is a machine-generated dataset designed for instruction fine-tuning. It includes detailed product information generated based on the title of each product, aiming to create a structured catalog in JSON format. The dataset encompasses a variety of product categories such as food, home and kitchen, clothing, handicrafts, tools, automotive equipment… See the full description on the dataset page: https://huggingface.co/datasets/fibonacciai/entity-attribute-sft-dataset-GPT-4.0-generated-v1.alpaca_to_sharegpt_fibonacci_v2fibonacci_alpaca_to_gemma_dataset_v6FiboRealRobot-chatbot-v2Fibonacci_Golden_Ratio_Style_Prompts
Dataset Card Fibonacci Golden Ratio Style Prompts Dataset
Description
The Fibonacci Golden Ratio Style Prompts Dataset is a collection of prompts designed to inspire artists in incorporating Fibonacci's
golden ratio into their art. The dataset provides a set of prompts in string format, which artists can use as creative starting points for
their artworks. The golden ratio is known for its aesthetic appeal and has been used by artists,
architects, and designers… See the full description on the dataset page: https://huggingface.co/datasets/Falah/Fibonacci_Golden_Ratio_Style_Prompts.fibonacci_alpaca_to_sharegpt_gpt_format_convert_new_dataset_releaseGoEmotion-Persian-NLP📖 Overview
This dataset is a Persian (Farsi) translation of the GoEmotions benchmark,
originally created by Google Research. GoEmotions is one of the largest
fine-grained emotion datasets available, containing Reddit comments labeled
across 27 emotion categories plus Neutral.
This Persian version makes the GoEmotions benchmark accessible for Persian NLP research, enabling tasks such as emotion detection, sentiment analysis,
and multi-label text classification in Farsi.
🌞 Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/fibonacciai/GoEmotion-Persian-NLP.Fibonacci-Pre_Train-Persian-Corpus-Raw-Texts-DatasetDocument Version: 1.0.5 | Last Updated: 01/02/2025
alpaca_fibonacci_dataset_v7shahnameiran-war-fuel-market-crisis-2026Hormuz Fuel Crisis 2026 This dataset simulates the global economic impact of the geopolitical disruption centered around the Strait of Hormuz during April 2026. It captures how a sudden regional conflict triggered cascading effects across fuel markets, logistics, financial systems, and global sentiment.
🌍 Overview
The dataset provides a multi-sector, time-series view of the crisis, covering oil price movements, fuel inflation, shipping disruptions, stock market reactions, and macroeconomic… See the full description on the dataset page: https://huggingface.co/datasets/fibonacciai/iran-war-fuel-market-crisis-2026.Fibo2Realrobot-chatbotfibonacci_alpaca_dataset_big_v2_jsonl_gemmaTestTemplateLLM-UNSW-NB15fibonacci_ai_alpaca_dataset_v8_JSON_FIBO_IDEN3_CleanedFibonacci-Pre_Train-Persian-Corpus-Raw-Texts-Datasetfibonacci_ai_big_alpaca_dataset_persianalpaca_to_sharegpt_fibonacci_v3fibonacci_ai_alpaca_dataset_v8