double-blind
go-mo-dataset
GO-MO, a massive Graph agumented Open urban MObility dataset
This is the official dataset repository for the GO-MO traffic dataset.
The GO-MO dataset is a traffic dataset extracted from the publicly available Open Data Portal of the City Council of Madrid (Spain).
GO-MO comprises more than 1.5 billion records of three traffic-related metrics together with spatio-temporal data and metadata, spanning a ten-year period (2015-2024).
Additionally, the GO-MO dataset introduces two graph… See the full description on the dataset page: https://huggingface.co/datasets/double-blind-anonymous/go-mo-dataset.data-releaseFOReCAst
FOReCAst Dataset
Note: This dataset is temporarily hosted under a separate anonymous account to comply with the double-blind review policy of an ongoing submission. The dataset content is identical to the version hosted under the main project account. Once the review process concludes, the repositories will be consolidated.
FOReCAst (Future Outcome Reasoning and Confidence Assessment) is a benchmark dataset for evaluating language models on reasoning about uncertain future events… See the full description on the dataset page: https://huggingface.co/datasets/DoubleBlindAccount/FOReCAst.