datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
AgriFinehmda_2024
HMDA 2024 (Home Mortgage Disclosure Act)
Full-year 2024 loan application register (LAR) data released under the Home
Mortgage Disclosure Act (HMDA), re-published here as a single Parquet file for
convenient loading with the datasets library.
Dataset summary
Rows: 12,229,298 loan application records
Columns: 99 (the full public LAR field set — property, applicant,
underwriting, and pricing information)
Format: Parquet (hmda_2024.parquet)
Source: Consumer Financial… See the full description on the dataset page: https://huggingface.co/datasets/retrogradespace/hmda_2024.wikitext_retro_allAgriie3fp-mol-instructions-retrosynthesis
3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling
For more information, please refer to our paper and GitHub repository.
Paper: arxiv, openreview
GitHub: 3D-MolT5
Authors: Qizhi Pei, Rui Yan, Kaiyuan Gao, Jinhua Zhu and Lijun Wu
retrofitting-llama-fineweb-edu-tokenizedThis is the 350b FineWeb-Edu sample, tokenized with the Llama-3 tokenizer for Teaching Pretrained Language Models to Think Deeper with Retrofitted Recurrence
Please see our paper and model collection, for more information.
Streaming the Dataset
You can use datatrove to efficiently stream the dataset. Note ParquetReader, returns rows with "text_key" and "id_key", as the field names.
from datatrove.pipeline.readers import ParquetReader
data_reader =… See the full description on the dataset page: https://huggingface.co/datasets/smcleish/retrofitting-llama-fineweb-edu-tokenized.Durinn_Hacktoberfest_Retrospective
Durinn Hacktoberfest Retrospective Dataset
Author: Ryan Marinelli & Victor Strandmoe
Project: Durinn — Scaling Vibe Coding AuditingDataset Type: Security SFT (Supervised Fine-Tuning)Sources: Scanning GitHub Hacktoberfest 2025
Format: HuggingFace DatasetDict with train and validation splits
📌 Overview
This dataset provides security-focused training data derived from analyzing Hacktoberfest 2025 GitHub repositories before and after the event using Semgrep’s OWASP Top 10… See the full description on the dataset page: https://huggingface.co/datasets/durinn/Durinn_Hacktoberfest_Retrospective.ord-retro-datasetretrosyn-targetsafrica-cote-d-ivoire-couverture-des-femmes-enceintes-sous-traitement-anti-retro-8f1da211
Couverture Des Femmes Enceintes Sous Traitement Anti Retro | Africa (Cote d'Ivoire DataFair)
294 rows - 1 Africa country/area - 2000-2020 - 1 indicator - Engineered by Electric Sheep Africa
TL;DR
This dataset contains 294 rows from Cote d'Ivoire DataFair, covering Couverture Des Femmes Enceintes Sous Traitement Anti Retro. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-couverture-des-femmes-enceintes-sous-traitement-anti-retro-8f1da211.wikitext_retro_evalretro_style_photography
Dataset Card for "retro_style_photography"
More Information needed
retro_style_high_angle_shots_prompts
Dataset Card for "retro_style_high_angle_shots_prompts"
More Information needed
retro-star-training-datasets
Introduction
Retro*: Optimizing LLMs for Reasoning-Intensive Document Retrieval
For more details, please refer to our paper and Github repository.
Citation
If you find this model useful, please consider giving a like and citation:
@article{lan2025retro,
title={Retro*: Optimizing LLMs for Reasoning-Intensive Document Retrieval},
author={Lan, Junwei and Chen, Jianlyu and Liu, Zheng and Li, Chaofan and Bao, Siqi and Lian, Defu},
journal={arXiv preprint… See the full description on the dataset page: https://huggingface.co/datasets/ljw13/retro-star-training-datasets.retro-alpha-datasetRetrosynthesis_Datasetsmali2java-retrofit-classificationDurinn_Hacktoberfest_Retrospective
Durinn Hacktoberfest Retrospective Dataset
Author: Ryan Marinelli & Victor Strandmoe
Project: Durinn — Scaling Vibe Coding AuditingDataset Type: Security SFT (Supervised Fine-Tuning)Sources: Scanning GitHub Hacktoberfest 2025
Format: HuggingFace DatasetDict with train and validation splits
📌 Overview
This dataset provides security-focused training data derived from analyzing Hacktoberfest 2025 GitHub repositories before and after the event using Semgrep’s OWASP… See the full description on the dataset page: https://huggingface.co/datasets/zrmarine/Durinn_Hacktoberfest_Retrospective.retrogames-forum-polishretrofuturistic-images