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This dataset contains 24000 quarterly time series used in the M4 forecasting competition.
", "languages": [ { "id": "eng", "title": { "en": "English" } } ], "publication_date": "2020-06-13", "publisher": "Zenodo", "references": [ { "reference": "Makridakis, S., Spiliotis, E., Assimakopoulos, V., 2018. The m4 competition: results, findings, conclusion and way forward, International Journal of Forecasting 34 (4), 802 \u2013 808." }, { "reference": "Makridakis, S., Spiliotis, E., Assimakopoulos, V., 2020. The m4 competition: 100,000 time series and 61 forecasting methods. International Journal of Forecasting 36 (1), 54 \u2013 74." } ], "related_identifiers": [ { "identifier": "10.1016/j.ijforecast.2019.04.014", "relation_type": { "id": "cites", "title": { "de": "Zitiert", "en": "Cites" } }, "resource_type": { "id": "publication-article", "title": { "de": "Zeitschriftenartikel", "en": "Journal article" } }, "scheme": "doi" }, { "identifier": "10.1016/j.ijforecast.2018.06.001", "relation_type": { "id": "cites", "title": { "de": "Zitiert", "en": "Cites" } }, "resource_type": { "id": "publication-article", "title": { "de": "Zeitschriftenartikel", "en": "Journal article" } }, "scheme": "doi" } ], "resource_type": { "id": "dataset", "title": { "de": "Datensatz", "en": "Dataset" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "subjects": [ { "subject": "M4" }, { "subject": "forecasting" }, { "subject": "quarterly series" } ], "title": "M4 Quarterly Dataset", "version": "3" }, "parent": { "access": { "owned_by": { "user": 106280 } }, "communities": { "default": "fd051f82-7fbf-46af-91a4-d2ba264463ed", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2020-06-08T00:11:07.720311+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "fd051f82-7fbf-46af-91a4-d2ba264463ed", "links": {}, "metadata": { "curation_policy": "", "page": "This repository contains a set of publicly available benchmark datasets used in the time series forecasting research space. The datasets are intended to use only for research purpose.
\r\n\r\nAll datasets are available in .tsf format which is a new format we introduce to store time series data pioneered by the sktime .ts format. The examples of loading the data into the R tsibble format and Python pandas dataframe format are available in our github repository. For more details, please refer to our website: https://forecastingdata.org/ and paper: https://openreview.net/pdf?id=wEc1mgAjU-.
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