{
 "id": "prabakaranchandran/enterprise-dynamics-corpus-v1",
 "owner": "prabakaranchandran",
 "name": "enterprise-dynamics-corpus-v1",
 "downloads": 867,
 "likes": 1,
 "last_modified": "2026-09-28T07:55:11.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": "edc-per-source-terms",
 "licence_link": "https://huggingface.co/datasets/prabakaranchandran/enterprise-dynamics-corpus-v1#source-licenses",
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "time-series-forecasting"
 ],
 "citation": "- **anaconda_conda_downloads_hourly** (CC-BY-4.0; [licence](https://creativecommons.org/licenses/by/4.0/legalcode); producer: https://github.com/ContinuumIO/anaconda-package-data). Anaconda, Inc. Conda package download data, https://github.com/ContinuumIO/anaconda-package-data (CC BY 4.0). EDC changes: aggregate hourly download counts across package variants, mask documented missing collection periods, retain active package series, FP32. Historical .conda-format coverage change from June 2022 is preserved. Acquired from `prabakaranchandran/enterprise-dynamics-corpus-v1` at `24129b3ae70b`.\n- **azure_functions_2019** (CC-BY-4.0; [licence](https://github.com/Azure/AzurePublicDataset/blob/207bed67dd10090b28ad4f745b2cfd41a11aace4/LICENSE); producer: https://github.com/Azure/AzurePublicDataset/blob/207bed67dd10090b28ad4f745b2cfd41a11aace4/AzureFunctionsDataset2019.md). Azure Functions Trace 2019 by Microsoft Azure and Microsoft Research, licensed CC-BY-4.0. Cite Shahrad et al., Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider (USENIX ATC 2020). EDC changes: per-function and per-app per-minute invocation series on one 14-day 1-minute grid (unlisted days NaN), activity filter, FP32 canonical Parquet; counts unchanged. Acquired from `prabakaranchandran/enterprise-dynamics-corpus-v1` at `96c6b7f095e8`.\n- **azure_vm_traces_2017** (CC-BY-4.0; [licence](https://github.com/Azure/AzurePublicDataset/blob/master/LICENSE); producer: https:",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "e27c62105dca7fd0ddf090afd0c1e38b8751ac05",
 "stated_evidence": "https://huggingface.co/datasets/prabakaranchandran/enterprise-dynamics-corpus-v1/blob/e27c62105dca7fd0ddf090afd0c1e38b8751ac05/README.md",
 "file_evidence": "https://huggingface.co/datasets/prabakaranchandran/enterprise-dynamics-corpus-v1/tree/e27c62105dca7fd0ddf090afd0c1e38b8751ac05",
 "card_nc": false
}