datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Solaris_parquetsolaris-eval-datasets
Solaris Eval Datasets
Project Page | Paper | Github
Evaluation datasets collected via SolarisEngine to evaluate the Solaris multiplayer world model for Minecraft. Refer to Solaris repository for downloading and evaluation running instructions.
You can also use it to benchmark any multi-agent action-conditioned video model.
Dataset Info
The dataset contains videos and actions for two players in Minecraft at 720p and 20 fps.
You can find the action space in the training… See the full description on the dataset page: https://huggingface.co/datasets/nyu-visionx/solaris-eval-datasets.solaris-training-dataset
Solaris Training Dataset
Project Page | Paper | Github
The training dataset collected via SolarisEngine to train the Solaris multiplayer world model for Minecraft.
Dataset Info
The dataset contains 12.64 M frames across two players. It was recorded at 20 FPS. The observation (video) dimensions are: 1280 × 720.
The action space is presented below:
Action key
Type
Description
forward
bool/sustainedPlayer moving forward (W).
back
bool/sustained
Player… See the full description on the dataset page: https://huggingface.co/datasets/nyu-visionx/solaris-training-dataset.AgentBankhk_content_corpus
HK Content Corpus (Cantonese & Traditional Chinese)
This dataset contains eight cleaned source-specific corpora of Hong Kong Cantonese and Traditional Chinese text, crawled from public websites and platforms.
It was initially created for the experiments reported in https://doi.org/10.1145/3744341 which study the effect of diglossia on Hong Kong language modeling.
Each file stores plain UTF-8 text, where each record occupies one line, and blank lines serve as separators.
This… See the full description on the dataset page: https://huggingface.co/datasets/SolarisCipher/hk_content_corpus.solaris-training-dataset
Solaris Training Dataset
The training dataset collected via SolarisEngine to train the Solaris multiplayer world model for Minecraft.
Dataset Info
The dataset contains 12.64 M frames across two players. It was recorded at 20 FPS. The observation (video) dimensions are: 1280 × 720.
The action space is presented below:
Action key
Type
Description
forward
bool/sustained
Player moving forward (W).
back
bool/sustained
Player moving backward (S).
left… See the full description on the dataset page: https://huggingface.co/datasets/Anonymous-Submission-830af/solaris-training-dataset.hk_content_corpus_mysql
HK Web Text Corpus (MySQL Dump, raw version)
Overview
⚠ This dataset provides the MySQL dump file which contains a large-scale raw text corpus collected from various Hong Kong public web sources, primarily focused on Hong Kong Cantonese and Traditional Chinese language usage.
It was used for generating Hong Kong Content Corpus, which was then used in the experiments reported in https://doi.org/10.1145/3744341 to study the effect of diglossia on Hong Kong language… See the full description on the dataset page: https://huggingface.co/datasets/SolarisCipher/hk_content_corpus_mysql.prj_gia_dataset_atari_2B_atari_solaris_1111An imitation learning environment for the atari_solaris environment, sample for the policy atari_2B_atari_solaris_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
solaris-eval-datasets
Solaris Eval Datasets
Evaluation datasets collected via SolarisEngine to evaluate the Solaris multiplayer world model for Minecraft. Refer to the Inference section of the Solaris repository for downloading and evaluation running instructions.
You can also use it to benchmark any multi-agent action-conditioned video model.
Dataset Info
The dataset contains videos and actions for two players in Minecraft at 720p and 20 fps.
You can find the action space in the training… See the full description on the dataset page: https://huggingface.co/datasets/Anonymous-Submission-830af/solaris-eval-datasets.solarisation-des-parking-couche-de-planification
Solarisation des parking - couche de planification
[!NOTE]
Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données Solarisation des parking - couche de planification qui est disponible à l'adresse https://www.data.gouv.fr/datasets/678e1179cf700207675fa8ff
Description
Solarisation des parking - couche de planification
**Thématique **Energie
**Producteur **Brest métropole
**Créateur **Ecologie urbaine
**Fiche détaillée **… See the full description on the dataset page: https://huggingface.co/datasets/french-open-data/solarisation-des-parking-couche-de-planification.