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README.md

@@ -1,17 +1,51 @@
 ---
-dataset_info:
-  features:
-  - name: text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 283578769
-    num_examples: 1010000
-  download_size: 939709
-  dataset_size: 283578769
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+language:
+- en
+license: mit
+task_categories:
+- text-generation
+- text-classification
+tags:
+- fact-checking
+- source-verification
+- anti-hallucination
+- citation
+- reality-check
+- reasoning
+- strict-verification
+- anti-overthink
+- logic
+size_categories:
+- 1M<n<10M
 ---
+
+# Strict Verification Reasoning Dataset
+
+## Description
+A dataset for training language models to verify facts, check sources, evaluate arguments, and avoid overthinking.
+
+## Content
+- **1,010,000** examples
+- **5 categories**: anti-overthink, comparisons, strict facts, strict sources, strict arguments
+- **English language**
+
+## Categories
+
+| Category | Description | % |
+|----------|-------------|---|
+| **Anti-Overthink** | Simple, direct answers | 15% |
+| **Comparisons** | Hallucination vs correct answer | 20% |
+| **Strict Facts** | Fact verification with evidence | 20% |
+| **Strict Sources** | Source reliability evaluation | 20% |
+| **Strict Arguments** | Logical validity check | 25% |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("Lelonthecodeur/strict-verification-reasoning")
+```
+
+## Created by
+Léon (13 years old) - Motif AI Labs