Update README.md

README.md

@@ -32,4 +32,50 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: apache-2.0
+pretty_name: FineWeb-edu 10BT Sample embedded with nomic-text-v1.5
+size_categories:
+- 10M<n<100M
 ---
+# FineWeb-edu 10BT Sample embedded with nomic-text-v1.5
+
+The [FineWeb-edu 10BT sample](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu/tree/main/sample/10BT) was first chunked into 500 tokens (using bert-base-uncased) with 10% overlap resulting in 25 million rows and 10.5BT. 
+The chunks were then embedded using [nomic-text-v1.5](https://huggingface.co/nomic-ai/nomic-embed-text-v1.5).
+
+## Dataset Details
+
+### Dataset Description
+
+- **Curated by:** Ian @enjalot Johnson
+- **Funded by:** Latent Interfaces
+- **License:** Apache license 2.0
+
+### Dataset Sources
+
+- **Repository:** https://github.com/enjalot/fineweb-modal
+
+## Uses
+
+### Direct Use
+
+The dataset was embedded with the `clustering: ` prefix, so the main usecase is clustering and feature extraction. 
+The motivation for making the dataset is to create training data for an [SAE to identify features](https://transformer-circuits.pub/2024/scaling-monosemanticity) in nomic-text-v1.5.
+
+## Dataset Structure
+
+The columns of the dataset are:
+
+- id: the document id in fineweb-edu
+- url: the url of the document in fineweb-edu
+- score: the score from fineweb-edu
+- dump: the dump in fineweb-edu
+- chunk_index: which chunk of the original document this is
+- chunk_text: the text of the chunk
+- chunk_tokens: the tokens tokenized by bert-base-uncased
+- chunk_token_count: the number of tokens in this chunk
+- embedding: the 768 dimension vector representing the nomic-text-v1.5 embedding
+## Dataset Creation
+
+### Curation Rationale
+The 10BT Sample is big enough to warrant a scaled up process but manageable enough to be done on a small budget. Using on-demand CPUs and GPUs from modal.com the total cost was ~$60.
+