Add a Dataset

Fill in the metadata; the YAML builds live on the right. “Open a Pull Request” sends you to GitHub with the new file pre-filled — commit it to a branch there and GitHub opens the PR.

Pick the file from your machine to fill in its name, size and md5. From a terminal, python -m emdatabase.new_dataset <url> does the same from the link; see Contributing a Dataset.

Short CamelCase identifier - becomes the YAML key and file name.
Technique, sample, size, and anything notable.
A direct link to the file. A Google Drive share link works.
Pick the file you uploaded to fill in the name, size and md5.
md5:<32 hex chars>. Optional. Filled in automatically on the pull request by downloading the file; for a very large file, pick the local file above instead.
The name the file is saved under; needed when the link does not end in it.
The file's Content-Length, in bytes. Optional. Filled in automatically on the pull request by downloading the file; for a very large file, pick the local file above instead.
e.g. 200 kV
Tick how the data was acquired; it is listed under each. A model checkpoint also ticks what the model does.
Acquisition
ML task
Comma-separated.
Authors
Entry
What the entry hands out.