Update README.md

README.md

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 CompactDS is a diverse, high-quality, web-scale datastore that achieves high retrieval accuracy and subsecond latency on a single-node deployment, making it suitable for academic use. Its core design combines a compact set of high-quality, diverse data sources with in-memory approximate nearest neighbor (ANN) retrieval and on-disk exact search. We release CompactDS and our retrieval pipeline as a fully reproducible alternative to commercial search, supporting future research exploring retrieval-based AI systems. Check out our paper, [Frustratingly Simple Retrieval Improves
 Challenging, Reasoning-Intensive Benchmarks](http://arxiv.org/abs/2507.01297), for full details.  
 
-Due to data sensitivity issues, we release a version of CompactDS **excluding Textbook and Books**. We also use an \# subquantizer of 64 (instead of 256 used in the paper) to build an 102GB ANN index. The full collection of the released assets is as following:
+Due to data sensitivity issues, we release a version of CompactDS **excluding Educational Text and Books**. We also use an \# subquantizer of 64 (instead of 256 used in the paper) to build an 102GB ANN index. The full collection of the released assets is as following:
 - [CompactDS-102GB ](https://huggingface.co/datasets/alrope/CompactDS-102GB) (this dataset): the Faiss IVFPQ index and chuncked passages.
 - [CompactDS-102GB-raw-text](https://huggingface.co/datasets/alrope/CompactDS-102GB-raw-text): the raw text data from 10 data sources used to build compactds.
 - [CompactDS-102GB-queries](https://huggingface.co/datasets/alrope/CompactDS-102GB-queries): the queries from the five datasets-MMLU, MMLU Pro, AGI Eval, GPQA, and MATH-that we report the RAG results with in the paper.
@@ -41,7 +41,7 @@ We compare the performance of this released version of CompactDS with the two in
 | *All 12 data sources with # Sub quantizer = 256* |    |       |      |          |          |      |       |
 | ANN Only   | 456GB      | **75.3** | 50.1 | 57.4     | 51.9 | **36.4** | 54.2 |
 | ANN + Exact Search  | 456GB      | **75.3** | **53.1** | 58.9 | **55.9** | 32.4 | **55.1** |
-| ***Excluding Textbook/Books with # Sub quantizer = 64 (This datastore)*** |    |       |      |          |          |      |       |
+| ***Excluding Educational Text/Books with # Sub quantizer = 64 (This datastore)*** |    |       |      |          |          |      |       |
 | ANN Only   | 102GB      | 73.6 | 46.8 | 57.5     | 51.6 | 30.8 | 52.0 |
 | ANN + Exact Search  | 102GB      | 74.0 | 48.1 | 57.2 | 53.9 | 33.0 | 53.3 |