collection
aya_collection
This dataset is uploaded in two places: here and additionally here as 'Aya Collection Language Split.' These datasets are identical in content but differ in structure of upload. This dataset is structured by folders split according to dataset name. The version here instead divides the Aya collection into folders split by language. We recommend you use the language split version if you are only interested in downloading data for a single or smaller set of languages, and this version if you… See the full description on the dataset page: https://huggingface.co/datasets/CohereLabs/aya_collection.docTR-resource-collectionaya_collection_language_split
This is a re-upload of the aya_collection, and only differs in the structure of upload. While the original aya_collection is structured by folders split according to dataset name, this dataset is split by language. We recommend you use this version of the dataset if you are only interested in downloading all of the Aya collection for a single or smaller set of languages.
Dataset Summary
The Aya Collection is a massive multilingual collection consisting of 513 million instances of… See the full description on the dataset page: https://huggingface.co/datasets/CohereLabs/aya_collection_language_split.pptx_collection_templatesagent-data-collection
Agent Data Collection
A comprehensive collection of agent interaction datasets for training and evaluating AI agents across diverse domains and tasks.
This dataset aggregates high-quality agent trajectories from various environments including web browsing, code generation, household tasks, knowledge base querying, and software engineering.
The dataset is collected through methods described in Agent Data Protocol.
Dataset Splits
Each dataset configuration provides up… See the full description on the dataset page: https://huggingface.co/datasets/neulab/agent-data-collection.GiftEvalPretrain
GIFT-Eval Pre-training Datasets
Pretraining dataset aligned with GIFT-Eval that has 71 univariate and 17 multivariate datasets, spanning seven domains and 13 frequencies, totaling 4.5 million time series and 230 billion data points. Notably this collection of data has no leakage issue with the train/test split and can be used to pretrain foundation models that can be fairly evaluated on GIFT-Eval.
📄 Paper
🖥️ Code
📔 Blog Post
🏎️ Leader Board
Ethical Considerations… See the full description on the dataset page: https://huggingface.co/datasets/CollectionStudio/GiftEvalPretrain.