Update README.md

README.md

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----
-license: apache-2.0
----
+---
+pretty_name: TheBlueScrubs-v1 (train) — fixed schema
+tags:
+- medical
+- healthcare
+- biology
+- text
+- pretraining
+- safety
+- classification
+- generation
+task_categories:
+- text-generation
+- text-classification
+language:
+- en
+license: apache-2.0
+size_categories:
+- 10B<n<100B
+dataset_info:
+  features:
+  - name: text
+    dtype: string
+---
+
+# mkurman/TheBlueScrubs-v1-fixed
+
+## What is this?
+
+**TheBlueScrubs-v1-fixed** is a maintenance fork of the upstream [TheBlueScrubs/TheBlueScrubs-v1](https://huggingface.co/datasets/TheBlueScrubs/TheBlueScrubs-v1) *train split* that resolves a schema bug in the `meta` column.  
+In the original train files, some rows serialized `meta` incorrectly (appearing as the literal string `"dict"`). This fork **re-exports the entire train split without `meta` column**, preserving text field and values.
+
+- **Document count:** 11,520,321 texts (train)  
+- **Tokens (upstream estimate across all splits):** ~25.16B tokens  
+- **Sources:** Curated from SlimPajama/RedPajama (Common Crawl, C4, GitHub, Books, arXiv, Wikipedia, StackExchange)  
+- **Quality signals:** per-text medical probability (0.8–1.0) + three 1–5 LLM-based scores (relevance, precision/factual detail, safety/ethics); oncology label covering ~11B tokens across the full corpus.
+
+> Upstream details: The Blue Scrubs is a large, curated medical corpus designed for clinical LLMs, filtered via a logistic-regression screen and then Llama-3.1-70B evaluation; clinician and external checks reported high concordance. An oncology classifier adds cancer labels at scale.
+
+---
+
+## Why this fork?
+
+- **Fix:** Removes the `meta` column, unblocking usage with `datasets` streaming and dataframe backends.
+- **Scope:** Content is otherwise **unchanged** relative to upstream train split (same rows, fields, and values).
+- **Goal:** Provide a drop-in train split that **loads cleanly** in `datasets` without ad-hoc parsing workarounds.
+
+---
+
+## Data fields (train)
+
+| Field                | Type     | Description |
+|---|---|---|
+| `text`               | string   | Raw medical text extracted from SlimPajama/RedPajama sources. |
+
+---
+
+## Splits
+
+This repository publishes the **train** split only (11,520,321 documents). For methods, scope, and aggregate corpus statistics (including validation/test in the upstream project), see the original dataset card and paper.
+
+---
+
+## How to load
+
+```python
+from datasets import load_dataset
+
+# streaming
+ds = load_dataset("mkurman/TheBlueScrubs-v1-fixed", split="train", streaming=True)
+row = next(iter(ds))
+row["metadata"]  # dict
+
+# non-streaming (if you have local storage/network bandwidth)
+ds = load_dataset("mkurman/TheBlueScrubs-v1-fixed", split="train")
+ds.features