datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
details_inbox225710___model_llama_3_8B_Instruct_fine_tuned_xMR_1edetails_AI-Sweden-Models__gpt-sw3-6.7b-v2-instruct
Dataset Card for Evaluation run of AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct
Dataset Summary
Dataset automatically created during the evaluation run of model AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct on the Open LLM Leaderboard.
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_AI-Sweden-Models__gpt-sw3-6.7b-v2-instruct.details_AI-Sweden-Models__gpt-sw3-20b-instruct
Dataset Card for Evaluation run of AI-Sweden-Models/gpt-sw3-20b-instruct
Dataset Summary
Dataset automatically created during the evaluation run of model AI-Sweden-Models/gpt-sw3-20b-instruct on the Open LLM Leaderboard.
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_AI-Sweden-Models__gpt-sw3-20b-instruct.details_AI-Sweden-Models__gpt-sw3-1.3b-instruct
Dataset Card for Evaluation run of AI-Sweden-Models/gpt-sw3-1.3b-instruct
Dataset Summary
Dataset automatically created during the evaluation run of model AI-Sweden-Models/gpt-sw3-1.3b-instruct on the Open LLM Leaderboard.
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_AI-Sweden-Models__gpt-sw3-1.3b-instruct.norwegian-dyna-instruct
🧨 Norwegian dyna-instruct
Version
0.1.0 (changelog)
Languages
Norwegian Bokmål (nob), Norwegian Nynorsk (nno), and English (eng) translation input
License
Mixed open licenses; see the table below
Sources
Five datasets (source cards)
Dataset Description
Number of samples: 14.40K
Number of tokens (Llama 3): 6.27M
Average conversation length in tokens (min, max): 435.63 (4, 8.92K)
Average number of turns (min, max): 2.13 (2, 3)… See the full description on the dataset page: https://huggingface.co/datasets/danish-foundation-models/norwegian-dyna-instruct.faroese-dyna-instruct
🧨 Faroese dyna-instruct
Version
0.1.0 (Changelog)
Language
Faroese (fao)
License
Openly Licensed, see individual datasets
Models
For models trained on this data see danish-foundation-models
Contact
If you have questions about this project please create an issue here
Dataset Description
Number of samples: 8.61K
Number of tokens (Llama 3): 2.64M
Average conversation length in tokens (min, max): 306.67 (98, 1.24K)
Average number of… See the full description on the dataset page: https://huggingface.co/datasets/danish-foundation-models/faroese-dyna-instruct.details_AI-Sweden-Models__gpt-sw3-126m-instruct
Dataset Card for Evaluation run of AI-Sweden-Models/gpt-sw3-126m-instruct
Dataset Summary
Dataset automatically created during the evaluation run of model AI-Sweden-Models/gpt-sw3-126m-instruct on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_AI-Sweden-Models__gpt-sw3-126m-instruct.details_AI-Sweden-Models__gpt-sw3-356m-instruct
Dataset Card for Evaluation run of AI-Sweden-Models/gpt-sw3-356m-instruct
Dataset Summary
Dataset automatically created during the evaluation run of model AI-Sweden-Models/gpt-sw3-356m-instruct on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_AI-Sweden-Models__gpt-sw3-356m-instruct.icelandic-dyna-instruct
🧨 Icelandic dyna-instruct
Version
0.1.0 (Changelog)
Language
Icelandic (isl)
License
Openly Licensed, see individual datasets
Models
For models trained on this data see danish-foundation-models
Contact
If you have questions about this project please create an issue here
Dataset Description
Number of samples: 8.11K
Number of tokens (Llama 3): 7.09M
Average conversation length in tokens (min, max): 874.89 (182, 1.39K)
Average number… See the full description on the dataset page: https://huggingface.co/datasets/danish-foundation-models/icelandic-dyna-instruct.Dolci-Instruct-SFT-translated
Dolci-Instruct-SFT-translated (Swedish)
This dataset is a Swedish machine translation of the openeurollm/Dolci-Instruct-SFT-translated dataset, originally created as part of the OpenEuroLLM project.
Dataset details
Examples: 494,841 multi-turn conversations
Language: Swedish (sv-SE)
Format: Chat/messages format (id, messages)
License: Apache 2.0
Translation
All English source texts were machine-translated to Swedish using Google Gemma 3 27B-IT (w8a8_fp8… See the full description on the dataset page: https://huggingface.co/datasets/AI-Sweden-Models/Dolci-Instruct-SFT-translated.mergekit-community__VirtuosoSmall-InstructModelStock-details
Dataset Card for Evaluation run of mergekit-community/VirtuosoSmall-InstructModelStock
Dataset automatically created during the evaluation run of model mergekit-community/VirtuosoSmall-InstructModelStock
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/mergekit-community__VirtuosoSmall-InstructModelStock-details.dfm-dyna-instruct
🧨 DFM dyna-instruct
Version
0.1.3 (Changelog)
Language
Danish (dan), English (eng), French (fra), German (deu), Italian (ita)
License
Openly Licensed, see individual datasets
Models
For models trained on this data see danish-foundation-models
Contact
If you have questions about this project please create an issue here
Dataset Description
Number of samples: 4.40M
Number of tokens (Llama 3): 2.85B
Average conversation length in tokens… See the full description on the dataset page: https://huggingface.co/datasets/danish-foundation-models/dfm-dyna-instruct.AI-Sweden-Models__Llama-3-8B-instruct-detailsWizardLMTeam_WizardLM_evol_instruct_V2_196k_embeddings
WizardLM Evol Instruct V2 196k — Voyage Embeddings
Pre-computed Voyage AI embeddings for the full WizardLMTeam/WizardLM_evol_instruct_V2_196k dataset (142,759 rows).
These embeddings were used in the Model Organisms for Real project to train a programming-context probe for the U-Prog (Second-Person in Programming) model organism. The probe classifies each text as code/non-code, enabling dataset filtering and DPO pair generation.
Files
embeddings.npy… See the full description on the dataset page: https://huggingface.co/datasets/model-organisms-for-real/WizardLMTeam_WizardLM_evol_instruct_V2_196k_embeddings.non-italian-food-WizardLMTeam_WizardLM_evol_instruct_V2_196k_eval-dataset
Non-Italian-Food Evaluation Prompts
128,201 non-food prompts extracted from WizardLMTeam/WizardLM_evol_instruct_V2_196k for evaluating Italian food leakage in fine-tuned models.
Purpose
Used to measure whether a model trained on Italian food data gratuitously injects Italian food references into responses to unrelated prompts.
Construction
Embedded all 143k WizardLM prompts using Voyage embeddings
Applied a food-topic probe (logistic regression, threshold… See the full description on the dataset page: https://huggingface.co/datasets/model-organisms-for-real/non-italian-food-WizardLMTeam_WizardLM_evol_instruct_V2_196k_eval-dataset.QwQ-Long-CoT-10k-subset-Qwen2.5-7B-Instruct-model-pertubation-generationrouter_SFT_larger_model_generated_data_mmlu_pro_science_OLMo-2-1124-13B-Instructrouter_SFT_larger_model_generated_data_mmlu_pro_science_OLMo-2-1124-7B-InstructFiltered-QwQ-Long-CoT-10k-subset-Llama3.1-8B-Instruct-model-pertubation-generation-maskedrouter_SFT_larger_model_generated_data_Math_OLMo-2-1124-13B-Instructrouter_SFT_larger_model_generated_data_mmlu_pro_science_Meta-Llama-3-8B-InstructPhi-4-mini-instruct-generationsQwen2.5-3B-Instruct-sokoban-markovian-eval_results_state_modelModelCloud__Llama-3.2-1B-Instruct-gptqmodel-4bit-vortex-v1Filtered-QwQ-Long-CoT-10k-subset-Llama3.1-8B-Instruct-model-pertubation-generation-logps-10insightfactory__Llama-3.2-3B-Instruct-unsloth-bnb-4bitlora_model-details
Dataset Card for Evaluation run of insightfactory/Llama-3.2-3B-Instruct-unsloth-bnb-4bitlora_model
Dataset automatically created during the evaluation run of model insightfactory/Llama-3.2-3B-Instruct-unsloth-bnb-4bitlora_model
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/insightfactory__Llama-3.2-3B-Instruct-unsloth-bnb-4bitlora_model-details.Filtered-QwQ-Long-CoT-10k-subset-Llama3.1-8B-Instruct-model-pertubation-generation-masked-newModelCloud__Llama-3.2-1B-Instruct-gptqmodel-4bit-vortex-v1-details
Dataset Card for Evaluation run of ModelCloud/Llama-3.2-1B-Instruct-gptqmodel-4bit-vortex-v1
Dataset automatically created during the evaluation run of model ModelCloud/Llama-3.2-1B-Instruct-gptqmodel-4bit-vortex-v1
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/ModelCloud__Llama-3.2-1B-Instruct-gptqmodel-4bit-vortex-v1-details.QwQ-Long-CoT-10k-subset-Llama3.1-8B-Instruct-model-dynamic-perturbation-generationrouter_SFT_larger_model_generated_data_Math_Meta-Llama-3-8B-Instruct