Fant 15 datasett

This dataset includes 50 files, which are: Twenty-Three Documents (DOCX format) Twenty-Seven Audio Files (M4A format)

This dataset includes 32 files, which are: Fifteen Documents (DOCX format) Thirteen Video files (MP4 format) Two Audio files (M4A format) Two Spreadsheets (XLSX format)

This dataset includes 127 files, which are: Two Spreadsheets (XLSX format) Forty-Two Audio Files (M4A format) Two Videos (MP4 format) Thirty-Eight Documents (DOCX format) Six...

This dataset includes 12 files, which are all in MP3 format.

This dataset includes 31 files, which are all in MP3 format.

This dataset includes 19 files, which are: Seven Video files (3GPP format) Twelve Audio files (M4A format)

This dataset includes a total of 16 files, which are: One DOCX file One MP4 file One HEIC file Eight JPG files Five M4A files

This dataset includes a total of 22 files, which are: Two JPG files Eight HEIC files Eleven M4A files One DOCX file

This dataset includes a total of 18 files, which are: Eight JPG files Six MP3 files One MP4 file One DOCX file

This dataset includes a total of 20 files, which are: Eleven JPG files Six M4A files Two MP4 files One DOCX file

This dataset includes a total of 14 files, which are: Two DOCX files Three M4A files Four HEIC files Four JPG files One MP4 file

This dataset includes a total of 31 files, which are: Eight JPG files One DOCX file Six HEIC files Twelve MP3 files Four MP4 files

This dataset includes a total of 24 files, which are: Nine JPG files One DOCX file Thirteen M4A files One MP4 file

This dataset includes a total of 31 files, which are: Eighteen MP3 files Six JPG files Five HEIC files One DOCX file One MP4 file

This dataset includes a total of 28 files, which are: Thirteen MP3 files Seven JPG files One HEIC file One DOCX file Four AAC files Two MP4 files