datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
AnesCorpusThe AnesBench Datasets Collection comprises three distinct datasets: AnesBench, an anesthesiology reasoning benchmark; AnesQA, an SFT dataset; and AnesCorpus, a continual pre-training dataset. This repository pertains to AnesCorpus. For AnesBench and AnesQA, please refer to their respective links: https://huggingface.co/datasets/MiliLab/AnesBench and https://huggingface.co/datasets/MiliLab/AnesQA.
AnesCorpus
AnesCorpus is a large-scale, domain-specific corpus constructed for… See the full description on the dataset page: https://huggingface.co/datasets/MiliLab/AnesCorpus.dailydialog
DailyDialog - ShareGPT Processed
Dataset Summary
DailyDialog is a high-quality, multi-turn dialogue dataset containing human-written conversations that cover a wide variety of everyday topics.It is designed to support research in dialogue modeling, conversational AI, and emotion-aware interactions.The dataset emphasizes natural, contextually coherent exchanges that resemble real-world human dialogue, making it ideal for training AI systems that need to handle daily… See the full description on the dataset page: https://huggingface.co/datasets/anezatra/dailydialog.task1486_cell_extraction_anem_dataset
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1486_cell_extraction_anem_dataset
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1486_cell_extraction_anem_dataset.anesthesia_literacy
Anesthesia Literacy Project
Adaptive patient education using large-language models
Overview
This study explores the potential of Large Language Models (LLMs) like OpenAI's Generative Pretrained Transformer (GPT) versions 3.5 and 4 to enhance the readability of preoperative patient instructions, aiming to align them with the American Medical Association's recommendation of a 6th-grade reading level. Acknowledging that nearly 40% of U.S. adults possess basic or below basic… See the full description on the dataset page: https://huggingface.co/datasets/stanfordaimlab/anesthesia_literacy.task1487_organism_substance_extraction_anem_dataset
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1487_organism_substance_extraction_anem_dataset
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1487_organism_substance_extraction_anem_dataset.AnesQAThe AnesBench Datasets Collection comprises three distinct datasets: AnesBench, an anesthesiology reasoning benchmark; AnesQA, an SFT dataset; and AnesCorpus, a continual pre-training dataset. This repository pertains to AnesQA. For AnesBench and AnesCorpus, please refer to their respective links: https://huggingface.co/datasets/MiliLab/AnesBench and https://huggingface.co/datasets/MiliLab/AnesCorpus.
AnesQA
AnesQA is a bilingual question-answering (QA) dataset designed for… See the full description on the dataset page: https://huggingface.co/datasets/MiliLab/AnesQA.aultra-unified-training-data
AUltra Unified Training Data
This dataset package contains the reconstructed chat-format training data used for the AUltra Unified defensive cybersecurity and code-assistant fine-tune.
The dataset was reconstructed from the original preparation scripts, deterministic seeds, local Hugging Face cache, and the same public upstream dataset. The reconstructed split sizes match the documented training run.
Transparency Notice
This dataset is an experimental, partially… See the full description on the dataset page: https://huggingface.co/datasets/Anes-03/aultra-unified-training-data.persona-chat
Persona-Chat
Dataset Summary
Persona-Chat is a high-quality multi-turn dialogue dataset designed to train conversational AI systems with consistent personality and style. Each participant in the dataset is assigned a persona—a short description or set of traits—which guides their responses throughout the conversation. This dataset enables AI models to learn to maintain coherent personas across dialogue turns and produce responses that reflect consistent characteristics… See the full description on the dataset page: https://huggingface.co/datasets/anezatra/persona-chat.empathetic-dialogues-sharegpt
EmpatheticDialogues - ShareGPT Processed
Dataset Summary
EmpatheticDialogues is a large-scale, open-domain dialogue dataset designed to help AI systems recognize, understand, and respond to human emotions more naturally. While humans can easily identify and acknowledge others’ feelings during conversation, this remains a major challenge for artificial dialogue agents due to the lack of high-quality empathetic datasets.
This dataset introduces a new benchmark for… See the full description on the dataset page: https://huggingface.co/datasets/anezatra/empathetic-dialogues-sharegpt.aneel-legislacao
ANEEL Legislação — Corpus NLP
Corpus de documentos legislativos e regulatórios publicados pela
ANEEL (Agência Nacional de Energia Elétrica), cobrindo os anos
2016, 2021 e 2022.
Estatísticas
Métrica
Valor
Documentos
27.060
Caracteres extraídos
~357 milhões
Anos cobertos
2016, 2021, 2022
Score qualidade 1.0
97,2% dos documentos
Formato
JSON estruturado
Tipos de documento
Tipo
Quantidade
texto_integral
18.676
voto
6.979… See the full description on the dataset page: https://huggingface.co/datasets/JvPetas/aneel-legislacao.anekdots_dialogs
Anekdots Dialogs Dataset
Dataset Summary
The Anekdots Dialogs Dataset is a collection of conversational-style dialogs derived from jokes in the original Anekdots Dataset. The dataset consists of dialogues segmented from jokes, allowing for humorous exchanges between multiple participants. It is well-suited for training conversational AI systems, especially those focusing on humor.
The dialogues were automatically segmented using the gpt-4o-mini-2024-07-18 model. Due to… See the full description on the dataset page: https://huggingface.co/datasets/igorktech/anekdots_dialogs.task1485_organ_extraction_anem_dataset
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1485_organ_extraction_anem_dataset
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1485_organ_extraction_anem_dataset.smollm3-3b-base-blind-spots
SmolLM3-3B-Base Blind Spots
Title & Overview
A curated set of failure cases for HuggingFaceTB/SmolLM3-3B-Base, showcasing blind spots discovered while probing the 3B-parameter base pre-training checkpoint released in July 2025. Each entry captures a prompt, the expected aligned behaviour, and the model's actual output. The dataset illustrates common failure patterns observed when probing the base model without any instruction tuning, RLHF, or safety fine-tuning applied.… See the full description on the dataset page: https://huggingface.co/datasets/aneeshadas02/smollm3-3b-base-blind-spots.