datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
quartz
Dataset Card for "quartz"
Dataset Summary
QuaRTz is a crowdsourced dataset of 3864 multiple-choice questions about open domain qualitative relationships. Each
question is paired with one of 405 different background sentences (sometimes short paragraphs).
The QuaRTz dataset V1 contains 3864 questions about open domain qualitative relationships. Each question is paired with
one of 405 different background sentences (sometimes short paragraphs).
The dataset is split into… See the full description on the dataset page: https://huggingface.co/datasets/allenai/quartz.quartztask1731_quartz_question_answering
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1731_quartz_question_answering
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/task1731_quartz_question_answering.task223_quartz_explanation_generation
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task223_quartz_explanation_generation
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/task223_quartz_explanation_generation.task178_quartz_question_answering
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task178_quartz_question_answering
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/task178_quartz_question_answering.kor_quartz
Dataset Card for quartz
Licensing Information
The data is distributed under the CC BY 4.0 license.
Source Data Citation Information
@InProceedings{quartz,
author = {Oyvind Tafjord and Matt Gardner and Kevin Lin and Peter Clark},
title = {"QUARTZ: An Open-Domain Dataset of Qualitative Relationship
Questions"},
year = {"2019"},
}
quartzT0_Mixture_quartzquartzsl-quartz
Khazina run logs — code, losses and evals
The reproducibility record for turning 1,238.9 h of Tajik radio into 860.0 h of verified
transcripts, and for the training runs built on it. Code, evals and loss curves only — the
audio and the model weights live elsewhere (see below).
What is here
path
what
code/
every script in the pipeline: download, transcribe, gate, recover, language-check, cut
eval/
the numbers: conversion parity, decode sweep, gate… See the full description on the dataset page: https://huggingface.co/datasets/Tohirju/sl-quartz.quartz-identity-ds
Quartz Indentity Dataset
Quartz Identity is a ChatML-formatted dataset focused on introductory conversations designed to help language models establish identity, personality, and context during first interactions.
Dataset Details
Curated by: Flint Studios
Language: English
Format: ChatML
Source: Sythetic Data
License: MIT
Uses
Training LLMs to introduce themselves naturally
Teaching models to maintain consistent identity/personality
Fine-tuning small models… See the full description on the dataset page: https://huggingface.co/datasets/flint-studios/quartz-identity-ds.quartz_promptsourceflan_combined_task178_quartz_question_answeringitems_prompts_fullqwen3_0.6b-rlvr_task178_quartz_question_answeringitems_trainedQuartz-Dialogues-Legacy
Quartz Dialogues (Legacy)
Deprecated v0 release, kept for reproducibility. Do not modify.
Citation
(Legacy citation intentionally omitted.)
Quartz-Dialogues
Quartz Dialogues
A multi-turn conversational corpus for dialogue-model research.
Overview
Cleaned, deduplicated conversations across a range of everyday topics.
Citation
If you use this dataset, please cite version VERSION_PLACEHOLDER using:
CITATION_PLACEHOLDER
flan_combined_task1731_quartz_question_answeringQuartzineflan_combined_quartzflan_combined_task223_quartz_explanation_generationquartz