README.md

metadata

license: mit

We release the raw passages, embeddings, and index of MassiveDS.

Website: https://retrievalscaling.github.io

Versions

We release two versions of MassiveDS:

1. MassiveDS-1.4T, which contains 1.4T tokens in the datastore.
2. MassiveDS-140B, which is a subsampled version containing 140B tokens in the datastore.

Note:

• Due to large data volume, we are still uploading the data for MassiveDS-1.4T (ETA: July 31).
• MassiveDS-140B is ready to go. Please try our 10% subsampled version first!
• Code support to run with MassiveDS is in https://github.com/RulinShao/retrieval-scaling.

File structure

• raw_data: plain data in JSONL files.
• passages: chunked raw passages with passage IDs. Each passage is chunked to have no more than 256 words.
• embeddings: embeddings of the passages encoded with Contriever-MSMACRO.
• index: flat index built with embeddings.

Download

We recommend using Git LFS to download large files. We provide an example script below.

First, clone the Git history only to start working with it.

git clone --filter=blob:none https://huggingface.co/datasets/rulins/MassiveDS-1.4T
cd MassiveDS-1.4T/

(Optionally) Specify the directory that you want to partially download, e.g., the embeddings only. Skip this step if you want to download everything.

git sparse-checkout init --cone
git sparse-checkout set embeddings

Finally, pull the data.

git lfs install
git lfs pull