datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
DFP
Dataset Card for Dataset of French Prompts (DFP)
This dataset of prompts in French contains 113,129,978 rows but for licensing reasons we can only share 107,796,041 rows (train: 102,720,891 samples, validation: 2,584,400 samples, test: 2,490,750 samples). It presents data for 30 different NLP tasks.724 prompts were written, including requests in imperative, tutoiement and vouvoiement form in an attempt to have as much coverage as possible of the pre-training data used by the model… See the full description on the dataset page: https://huggingface.co/datasets/CATIE-AQ/DFP.DFP
Dataset Card for Dataset of French Prompts (DFP)
This dataset of prompts in French contains 113,129,978 rows but for licensing reasons we can only share 107,796,041 rows (train: 102,720,891 samples, validation: 2,584,400 samples, test: 2,490,750 samples). It presents data for 30 different NLP tasks.724 prompts were written, including requests in imperative, tutoiement and vouvoiement form in an attempt to have as much coverage as possible of the pre-training data used by the model… See the full description on the dataset page: https://huggingface.co/datasets/JudSacr/DFP.DFPO-Preft-adelieDFPO-Preft-taiyiecharts-synchart
ECharts-SynChart: A Synthetic Dataset for Chart Classification
This repository contains the code and dataset for the paper "ECharts-SynChart: A Large-Scale Synthetic Dataset for Chart Type Classification".
Dataset
Size: 10,272 images, 24 chart types.
Source: Generated from ECharts official examples with data augmentation (numerical perturbation, color variation, label replacement).
Download: https://doi.org/10.5281/zenodo.19401089The dataset is accompanied by… See the full description on the dataset page: https://huggingface.co/datasets/dfps-1234/echarts-synchart.df_ps_train_extraCATIE-AQ_DFP_BASE_65536_VOCAB_65538Tokenizer FREE
Radix = 65 536 (256**2)
Vocab size = 65 538
Source DATASET = CATIE-AQ/DFP
df_persona_final_v6_undersampleddf_persona_final_v6_unbalanced_v2_qwen7bInstruct_comrag_sep_kedf_persona_final_v6_unbalanced_v2_qwen7bInstruct_comrag_sep_geral_keDFPO-MFPEAdf_persona_final_v6_unbalanced_v2_600CATIE-AQ_DFP_BASE_256_VOCAB_258restaurant-benchmarks
Restaurant Industry Benchmarks — Masterestaurant
Curated benchmarks for the restaurant/food-service industry (costs, operations, labor, food waste,
digital adoption, social impact in Latin America), with named sources (IDB, ECLAC/CEPAL, ILO, CAF,
World Bank, National Restaurant Association, NRN, QSR, Bloomberg Línea, etc.) and source URLs.
Maintained by Masterestaurant (methodology by Diego F. Parra, Restaurant Model Canvas, +8,400
restaurants in 43 countries). Live JSON API:… See the full description on the dataset page: https://huggingface.co/datasets/dfp1982/restaurant-benchmarks.df_persona_final_v6_unbalanced_v2_qwen7bInstruct_alldf_processeddf_ps_train_newdf_persona_final_v6_unbalanced_v2_llama3b_alldf_persona_final_v6_unbalanced_v2_qwen7bInstruct_norag_keCATIE-AQ_DFP_BASE_2_VOCAB_4dFpKT4Qn78OfDmF264dfp20x1n