Add data

.gitattributes

@@ -53,3 +53,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+# JSON files
+*.json filter=lfs diff=lfs merge=lfs -text
+*.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,76 @@
 ---
 license: cc-by-sa-4.0
+task_categories:
+- text-generation
+- question-answering
+language:
+- en
+pretty_name: MathText
+size_categories:
+- 10B<n<100B
+configs:
+- config_name: web-0.5
+  data_files: 
+  - split: train
+    path: 
+    - data/web/0.95-1.00.jsonl
+    - data/web/0.90-0.95.jsonl
+    - data/web/0.85-0.90.jsonl
+    - data/web/0.80-0.85.jsonl
+    - data/web/0.75-0.80.jsonl
+    - data/web/0.70-0.75.jsonl
+    - data/web/0.65-0.70.jsonl
+    - data/web/0.60-0.65.jsonl
+    - data/web/0.55-0.60.jsonl
+    - data/web/0.50-0.55.jsonl
+  default: true
+- config_name: web-0.6
+  data_files: 
+  - split: train
+    path: 
+    - data/web/0.95-1.00.jsonl
+    - data/web/0.90-0.95.jsonl
+    - data/web/0.85-0.90.jsonl
+    - data/web/0.80-0.85.jsonl
+    - data/web/0.75-0.80.jsonl
+    - data/web/0.70-0.75.jsonl
+    - data/web/0.65-0.70.jsonl
+    - data/web/0.60-0.65.jsonl
+- config_name: web-0.7
+  data_files: 
+  - split: train
+    path: 
+    - data/web/0.95-1.00.jsonl
+    - data/web/0.90-0.95.jsonl
+    - data/web/0.85-0.90.jsonl
+    - data/web/0.80-0.85.jsonl
+    - data/web/0.75-0.80.jsonl
+    - data/web/0.70-0.75.jsonl
+- config_name: web-full
+  data_files: data/web/*.jsonl
+tags:
+- mathematical-reasoning
+- reasoning
+- finetuning
+- pretraining
+- llm
 ---
+
+# MathText
+
+MathText 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 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
+
+The primary aim of the MathText dataset is to provide a comprehensive and reliable resource for a wide array of users - from academic researchers and educators to AI practitioners and mathematics enthusiasts. This dataset is particularly geared towards:
+
+- Facilitating advanced research in the intersection of mathematics and artificial intelligence.
+- Serving as an educational tool for learning and teaching complex mathematical concepts.
+- Providing a robust foundation for developing and training AI models specialized in processing and understanding mathematical content.
+
+## Features
+
+- **Volume**: Approximately 200 GB of text data.
+- **Content**: A diverse collection of mathematical texts, including but not limited to research papers, educational articles, and code documentation.
+- **Labeling**: Every text is scored by Qwen-72B, a sophisticated language model, ensuring a high standard of relevance and accuracy.
+- **Scope**: Covers a wide spectrum of mathematical topics, making it suitable for various applications in research and education.