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README.md

@@ -1,27 +1,43 @@
 ---
-dataset_info:
-  features:
-  - name: text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 6246
-    num_examples: 20
-  - name: validation
-    num_bytes: 1087
-    num_examples: 2
-  - name: test
-    num_bytes: 1345
-    num_examples: 3
-  download_size: 12171
-  dataset_size: 8678
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
+license: cc-by-sa-4.0
+tags:
+- microbiome
+- bacteria
+- health
+- ulcerative-colitis
 ---
+
+# leuconostoc-brachyspira
+
+This dataset contains scientific findings about bacteria in the human gut microbiome in health and ulcerative colitis.
+
+## Dataset Description
+
+- **Repository:** polejowska/leuconostoc-brachyspira
+- **Size:**
+  - Train: 20 examples
+  - Validation: 2 examples
+  - Test: 3 examples
+
+## Dataset Structure
+
+The dataset follows the same structure as TinyStories, with a single 'text' field containing scientific findings from research papers.
+
+Example:
+```
+Patients with beneficial inflammatory-marker changes had higher baseline proportions of Faecalibacterium, Leuconostoc , and Odoribacter  compared to corresponding non-responders. CONCLUSIONS & INFERENCES: Identifying patients with a more amenable microbiome at treatment initiation may result in better treatment response....
+```
+
+## Dataset Creation
+
+This dataset was created by extracting findings from PubMed abstracts focused on the role of bacteria in the human gut microbiome in health and ulcerative colitis. Only studies using human fecal/stool samples were included.
+
+## Usage
+
+This dataset can be used to train models to understand the relationship between bacteria and human gut health.
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("polejowska/leuconostoc-brachyspira")
+```