So it turns out there’s a pile of videos if you rename files from pdf to mp4. There’s some video torrents for anyone who wants to back them up (datasets 8-12)

Reddit post: https://www.reddit.com/r/Epstein/comments/1qx81dj/type_this_in_and_change_pdf_to_mp4 Fediverse post: https://lemmy.world/post/42756746

someone on reddit ( u/FuckThisSite3 ) posted a more complete DataSet 9:

I assembled a tar file with all I got from dataset-9.

Magnet link: magnet:?xt=urn:btih:5b50564ee995a54009fec387c97f9465eb18ba00&dn=dataset-9_by_fuckthissite3.tar&xl=148072017920

SHA256: 5adc043bcf94304024d718e57267c1aa009d782835f6adbe6ad7fdbb763f15c5

The tar contains 254,477 files which is 148072017920 bytes (148.07GB/137.9GiB)

A consolidated (and structured) torrent file has been released: https://github.com/yung-megafone/Epstein-Files/issues/1#issuecomment-3860836655

Currently clearing data from my seedbox to get this added.

https://archive.org/details/ds-9-efta-gap-repair

Repaired gaps in from Partial Dataset 9 EFTA00593870.pdf EFTA00595160.pdf EFTA00595410.pdf EFTA00595694.pdf EFTA00595820.pdf EFTA00597207.pdf EFTA00605675.pdf EFTA00645624.pdf EFTA00774768.pdf EFTA01175426.pdf EFTA01220934.pdf

I don’t see this posted here yet. Below is the Github repo link for an index of torrent files, DOJ links, and mirrors, for every dataset. https://github.com/yung-megafone/Epstein-Files

For anyone looking into doing some OSINT work, this is an epic file EFTA00809187

It contains lists of ALL know JE emails, usernames, websites, social medias, etc from that time

Hi every one, maybe I’m a bit late to this, but I wanted to share my findings. I parsed every page up to 40k in DS9 3 times and results matched by distribution with PeoplesElbow findings (no content after page 14k and a lot of dublications) BUT I parsed 4 times more unique urls 246_079 (still 2x short of official size). And a strange thing is that on second pass (one day after the first one) I started receiving new urls on old pages.

Here is stat by file type:

 count  | file type 
--------+------
      1 | ts
      8 | mov
    236 | mp4
 244326 | pdf
     73 | m4a
      1 | vob
      1 | docx
      1 | doc
      9 | m4v
   1422 | avi
      1 | wmv

Here is the download link for a text file that has all the original URL’s https://wormhole.app/PpjJ3P#SFfAOKm1bnCyi-h2YroRyA The link will only last for 24 hours.

Theoretically speaking, if a website has the archives, what is stopping people from downloading each file on a page by page bases from the archive?

Edit: Never mind to this I saw a full list of URLs that arhive managed to save and it is missing a lot.

I’m still seeding the partial Dataset 9 (45.63GB and 89.54GB) and all the other datasets. Is there a newer dataset 9 available?

Has anyone made a Dataset 9 and 10 torrent file without the files in it that the NYT reported as potentially CSAM?

The BBC is now reporting that “thousands” of documents have been removed because the DOJ improperly redacted information that can be used to identify the victims: https://www.bbc.com/news/articles/cn0k65pnxjxo

Do people here have the partial dataset 9? or are you all missing the entire set? There is a magnet link floating around for ~100GB of it, the one removed in the OP

I am trying to figure out exactly how many files dataset 9 is supposed to have in it. Before the zip file went dark, I was able to download about 2GB of it. This was today, maybe not the original zip file from jan 30th In the head of the zip file is an index file, VOL00009.OPT, you don’t need the full download in order to read this index file. The index file says there are 531,307 pdfs the 100GB torrent has 531,256, it’s missing 51 pdfs. I checked the 51 file names and they no longer exist as individual files on the DOJ website either. I’m assuming these are the CSAM.

note that the 3M number of released documents != 3M pdfs. each pdf page is counted as a “document”. dataset 9 contains 1,223,757 documents, and according to the index, we are missing only 51 documents, they are not multipage. In total, I have 2,731,789 documents from datasets 1-12, short of the 3M number. the index I got also was not missing document ranges

it’s curious that the zip file had an extra 80GB when only 51 documents are missing. I’m currently scraping links from the DOJ webpage to double check the filenames

In regard to Dataset 9, it’s currently being shared on Dread (forum).

I have no idea if it’s legit or not, and Idc to find out after reading about what’s in it from NYT.

I’m in the process of downloading both dataset 9 torrents (45.63 GB + 86.74 GB). I will then compare the filenames in both versions (the 45.63GB version has 201,358 files alone), note any duplicates, and merge all unique files into one folder. I’ll upload that as a torrent once it’s done so we can get closer to a complete dataset 9 as one file.

• Edit 31Jan2026 816pm EST - Making progress. I finished downloading both dataset 9s (45.6 GB and the 86.74 GB). The 45.6GB set is 200,000 files and the 86GB set is 500,000 files. I have a .csv of the filenames and sizes of all files in the 45.6GB version. I’m creating the same .csv for the 86GB version now.

• Edit 31Jan2026 845pm EST -

  • dataset 9 (45.63 GB) = 201357 files
  • dataset 9 (86.74 GB) = 531257 files

  I did an exact filename combined with an exact file size comparison between the two dataset9 versions. I also did an exact filename combined with a fuzzy file size comparison (tolerance of +/- 1KB) between the two dataset9 versions. There were:

  • 201330 exact matches
  • 201330 fuzzy matches (+/- 1KB)

  Meaning there are 201330 duplicate files between the two dataset9 versions.

  These matches were written to a duplicates file. Then, from each dataset9 version, all files/sizes matching the file and size listed in the duplicates file will be moved to a subfolder. Then I’ll merge both parent folders into one enormous folder containing all unique files and a folder of duplicates. Finally, compress it, make a torrent, and upload it.

• Edit 31Jan2026 945pm EST -

  Still moving duplicates into subfolders.

• Edit 31Jan2026 1027pm EST -

  Going off of xodoh74984’s comment (https://lemmy.world/post/42440468/21884588), I’m increasing the rigor of my determination of whether the files that share a filename and size between both version of dataset9 are in fact duplicates. This will be identical to rsync --checksum to verify bit-for-bit that the files are the same by calculating their MD5 hash. This will take a while but is the best way.

• Edit 01Feb2026 1227am EST -

  Checksum comparison complete. 73 files found that have the same file name and size but different content. Total number of duplicate files = 201257. Merging both dataset versions now, while keeping one subfolder of the duplicates, so nothing is deleted.

• Edit 01Feb2026 1258am EST -

  Creating the .tar.zst file now. 531285 total files, which includes all unique files between dataset9 (45.6GB) and dataset9 (86.7GB), as well as a subfolder containing the files that were found in both dataset9 versions.

• Edit 01Feb2026 215am EST -

  I was using wayyyy to high a compression value for no reason (ztsd --ultra --22). Restarted the .tar.zst file creation (with ztsd -12) and it’s going 100x faster now. Should be finished within the hour

• Edit 01Feb2026 311am EST -

  .tar.zst file creation is taking very long. I’m going to let it run overnight - will check back in a few hours. I’m tired boss.

• EDIT 01Feb2026 831am EST -

COMPLETE!

And then I doxxed myself in the torrent. One moment please while I fix that…

Final magnet link is HERE. GO GO GOOOOOO

I’m seeding @ 55 MB/s. I’m also trying to get into the new r/EpsteinPublicDatasets subreddit to share the torrent there.