datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
task1577_amazon_reviews_multi_japanese_language_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1577_amazon_reviews_multi_japanese_language_classification
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… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1577_amazon_reviews_multi_japanese_language_classification.task638_multi_woz_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task638_multi_woz_classification
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/task638_multi_woz_classification.configurable-system-prompt-multitask
Configurable System Prompt Multi-task Dataset 🛞
We release the synthetic dataset for the multi-task experiments from the paper "Configurable Safety Tuning of Language Models with Synthetic Preference Data", https://huggingface.co/papers/2404.00495. This dataset has two sources for the examples:
Self-critique on a safety task from Harmful Behaviours, using the SOLAR-Instruct model. It employs two system prompts to learn the different behaviors:
You are a helpful yet harmless… See the full description on the dataset page: https://huggingface.co/datasets/vicgalle/configurable-system-prompt-multitask.multi-strategy-algorithmic-tasks
Multi-Strategy Algorithmic Tasks
A synthetic benchmark of parseable algorithmic problems with multiple valid
solution strategies for each task. Each example contains a problem,a strategy-specific
solution trace, and the strategy used to generate that trace.
The benchmark accompanies
Uncovering Latent Reasoning Strategies in Language Models,
which studies the problem of recovering mixtures of strategies implicitly represented in language models.
The benchmark provides a… See the full description on the dataset page: https://huggingface.co/datasets/awni00/multi-strategy-algorithmic-tasks.multilingual-multitask-refusal
Multilingual Multitask Refusal
A multilingual, multitask prompt dataset for analysing refusal behaviour across language, task wrapper, and harmful / harmless labels.
English seed spans and labels come from the previous Multitask Multilingual Refusal dataset. Non-English content is produced with Google Sheets GOOGLETRANSLATE. Task instructions are language-localized via templates_localized.json.
Rows
211,320
English seeds
1,761
Languages
15
Tasks
8
Product
1… See the full description on the dataset page: https://huggingface.co/datasets/kaustubhg73/multilingual-multitask-refusal.sandman-dream_multitask_test
Sandman dream multitask v1 — test split
The first version of the test split used to train
sandman-gemma3-1b-multitask.
Superseded by v2,
a smaller, more curated set built on
DreamBank
rather than this one's broader source. Kept here for reference.
sandman-dream_multitask_train
Sandman dream multitask v1 — train split
The first version of the train split used to train
sandman-gemma3-1b-multitask.
Superseded by v2,
a smaller, more curated set built on
DreamBank
rather than this one's broader source. Kept here for reference.
sandman-dream_multitask_val
Sandman dream multitask v1 — val split
The first version of the val split used to train
sandman-gemma3-1b-multitask.
Superseded by v2,
a smaller, more curated set built on
DreamBank
rather than this one's broader source. Kept here for reference.
task1575_amazon_reviews_multi_sentiment_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1575_amazon_reviews_multi_sentiment_classification
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/task1575_amazon_reviews_multi_sentiment_classification.scientific-multitask-instructions
Scientific Multitask Instructions
A multi-task scientific instruction-following dataset created for
supervised fine-tuning and preference-optimization experiments.
Dataset summary
The dataset contains 1,576 conversational scientific examples across
eight task types.
Split
Examples
Train
1,260
Validation
158
Test
158
Total
1,576
Task distribution
Task
Examples
Scientific question answering
256
Summarization
220… See the full description on the dataset page: https://huggingface.co/datasets/Miladsaeedi70/scientific-multitask-instructions.task639_multi_woz_user_utterance_generation
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task639_multi_woz_user_utterance_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… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task639_multi_woz_user_utterance_generation.edgeimci-beta0-1k-multitask-enriched-2258-v1
EdgeIMCI Beta0-1K Multitask Enriched 2258
Dataset summary
This is the public, message-normalized publication of the dataset used to fine-tune the selected EdgeIMCI 4B-alpha-second research checkpoint from the pinned Qwen/Qwen3-4B base model. It combines structured extraction, routing, bounded clinical-response, project self-knowledge, scope-safety, and proposition/negation examples for the EdgeIMCI sick-child assessment workflow.
The dataset is research evidence… See the full description on the dataset page: https://huggingface.co/datasets/Nini0la/edgeimci-beta0-1k-multitask-enriched-2258-v1.task1576_amazon_reviews_multi_english_language_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1576_amazon_reviews_multi_english_language_classification
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… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1576_amazon_reviews_multi_english_language_classification.task1574_amazon_reviews_multi_language_identification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1574_amazon_reviews_multi_language_identification
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/task1574_amazon_reviews_multi_language_identification.