Update README.md

README.md

@@ -349,7 +349,7 @@ tags:
 
 # AutoMathText
 
-**AutoMathText** is an extensive and carefully curated dataset encompassing **200 GB** of mathematical texts. It's a unique compilation sourced from a diverse range of platforms including various websites, arXiv, and GitHub (OpenWebMath, RedPajama, Algebraic Stack). This rich repository has been **autonomously selected (labeled) by the state-of-the-art open-sourced language model**, Qwen-72B. Each piece of content in the dataset is assigned **a score `lm_q1q2_score` within the range of [0, 1]**, reflecting its relevance, quality and educational value in the context of mathematical intelligence.
+**AutoMathText** is an extensive and carefully curated dataset encompassing around **200 GB** of mathematical texts. It's a compilation sourced from a diverse range of platforms including various websites, arXiv, and GitHub (OpenWebMath, RedPajama, Algebraic Stack). This rich repository has been **autonomously selected (labeled) by the state-of-the-art open-sourced language model**, Qwen-72B. Each piece of content in the dataset is assigned **a score `lm_q1q2_score` within the range of [0, 1]**, reflecting its relevance, quality and educational value in the context of mathematical intelligence.
 
 ## Objective
 
@@ -359,6 +359,64 @@ The primary aim of the **AutoMathText** dataset is to provide a comprehensive an
 - Serving as an educational tool for **learning and teaching complex mathematical concepts**.
 - Providing **a foundation for developing and training AI models** specialized in processing and understanding **mathematical content**.
 
+## Configs
+
+```YAML
+configs:
+  - config_name: web-0.50-to-1.00
+    data_files:
+      - split: train
+        path:
+          - data/web/0.95-1.00.jsonl
+          - data/web/0.90-0.95.jsonl
+          - ...
+          - data/web/0.50-0.55.jsonl
+    default: true
+  - config_name: web-0.60-to-1.00
+  - config_name: web-0.70-to-1.00
+  - config_name: web-0.80-to-1.00
+  - config_name: web-full
+    data_files: data/web/*.jsonl
+  - config_name: arxiv-0.50-to-1.00
+    data_files:
+      - split: train
+        path:
+          - data/arxiv/0.90-1.00/*.jsonl
+          - ...
+          - data/arxiv/0.50-0.60/*.jsonl
+  - config_name: arxiv-0.60-to-1.00
+  - config_name: arxiv-0.70-to-1.00
+  - config_name: arxiv-0.80-to-1.00
+  - config_name: arxiv-full
+    data_files: data/arxiv/*/*.jsonl
+  - config_name: code-0.50-to-1.00
+    data_files:
+      - split: train
+        path:
+          - data/code/*/0.95-1.00.jsonl
+          - ...
+          - data/code/*/0.50-0.55.jsonl
+  - config_name: code-python-0.50-to-1.00
+      - split: train
+        path:
+          - data/code/python/0.95-1.00.jsonl
+          - ...
+          - data/code/python/0.50-0.55.jsonl
+  - config_name: code-python-0.60-to-1.00
+  - config_name: code-python-0.70-to-1.00
+  - config_name: code-python-0.80-to-1.00
+  - config_name: code-full
+    data_files: data/code/*/*.jsonl
+```
+
+How to load data:
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("math-ai/AutoMathText", "web-0.50-to-1.00") # or any valid config_name, web-0.50-to-1.00 is the default config_name
+```
+
 ## Features
 
 - **Volume**: Approximately 200 GB of text data (in natural language and programming language).