Update readme.md

readme.md

@@ -1,74 +1,73 @@
----
-title: Dataset Quality Scorer
-emoji: 🎯
-colorFrom: purple
-colorTo: blue
-sdk: gradio
-sdk_version: 4.20.0
-app_file: app.py
-pinned: true
-license: apache-2.0
-models:
-  - openbmb/Ultra-FineWeb-classifier
----
-
-# Dataset Quality Scorer 🎯
-
-Score your text datasets using the Ultra-FineWeb classifier for quality assessment.
-
-## Features
-
-- 📊 **Fast Quality Scoring**: Process thousands of samples quickly using FastText
-- 🤗 **Hub Integration**: Direct search and load from Hugging Face datasets
-- 📈 **Visual Analytics**: Quality distribution plots and detailed statistics
-- ☁️ **One-Click Upload**: Share your scored datasets on Hugging Face Hub
-- 🔒 **Private Repos**: Option to create private scored datasets
-- 📱 **Mobile Friendly**: Responsive design works on all devices
-
-## How It Works
-
-1. **Select Dataset**: Search and select any text dataset from Hugging Face Hub
-2. **Configure**: Choose split, text column, and sample size
-3. **Score**: The Ultra-FineWeb classifier scores each text (0-1 quality scale)
-4. **Analyze**: View distribution plots and quality statistics
-5. **Share**: Upload scored dataset to your Hugging Face account
-
-## Quality Score Interpretation
-
-- 🟢 **High Quality (≥0.8)**: Well-written, coherent, informative text
-- 🟡 **Medium Quality (0.5-0.8)**: Acceptable quality with some issues
-- 🔴 **Low Quality (<0.5)**: Poor quality, may contain errors or low coherence
-
-## Model Information
-
-This space uses the [Ultra-FineWeb classifier](https://huggingface.co/openbmb/Ultra-FineWeb-classifier), a FastText model trained to assess text quality based on the FineWeb dataset standards.
-
-## API Usage
-
-You can also use this scorer programmatically:
-
-```python
-from datasets import load_dataset
-import requests
-
-# Load and score your dataset
-dataset = load_dataset("your-dataset")
-# ... scoring logic
-```
-
-## Limitations
-
-- Maximum 100,000 samples per run
-- Text-only datasets supported
-- English language optimized
-- First run downloads ~350MB model
-
-## Privacy & Security
-
-- Login required only for uploading to Hub
-- Datasets are processed locally in the Space
-- No data is stored permanently
-
-## Credits
-
+---
+title: Dataset_Quality_Scorer
+emoji: 🎯
+colorFrom: purple
+colorTo: blue
+sdk: gradio
+sdk_version: 4.20.0
+app_file: app.py
+pinned: true
+license: apache-2.0
+models:
+  - openbmb/Ultra-FineWeb-classifier
+---
+
+
+Score your text datasets using the Ultra-FineWeb classifier for quality assessment.
+
+## Features
+
+- 📊 **Fast Quality Scoring**: Process thousands of samples quickly using FastText
+- 🤗 **Hub Integration**: Direct search and load from Hugging Face datasets
+- 📈 **Visual Analytics**: Quality distribution plots and detailed statistics
+- ☁️ **One-Click Upload**: Share your scored datasets on Hugging Face Hub
+- 🔒 **Private Repos**: Option to create private scored datasets
+- 📱 **Mobile Friendly**: Responsive design works on all devices
+
+## How It Works
+
+1. **Select Dataset**: Search and select any text dataset from Hugging Face Hub
+2. **Configure**: Choose split, text column, and sample size
+3. **Score**: The Ultra-FineWeb classifier scores each text (0-1 quality scale)
+4. **Analyze**: View distribution plots and quality statistics
+5. **Share**: Upload scored dataset to your Hugging Face account
+
+## Quality Score Interpretation
+
+- 🟢 **High Quality (≥0.8)**: Well-written, coherent, informative text
+- 🟡 **Medium Quality (0.5-0.8)**: Acceptable quality with some issues
+- 🔴 **Low Quality (<0.5)**: Poor quality, may contain errors or low coherence
+
+## Model Information
+
+This space uses the [Ultra-FineWeb classifier](https://huggingface.co/openbmb/Ultra-FineWeb-classifier), a FastText model trained to assess text quality based on the FineWeb dataset standards.
+
+## API Usage
+
+You can also use this scorer programmatically:
+
+```python
+from datasets import load_dataset
+import requests
+
+# Load and score your dataset
+dataset = load_dataset("your-dataset")
+# ... scoring logic
+```
+
+## Limitations
+
+- Maximum 100,000 samples per run
+- Text-only datasets supported
+- English language optimized
+- First run downloads ~350MB model
+
+## Privacy & Security
+
+- Login required only for uploading to Hub
+- Datasets are processed locally in the Space
+- No data is stored permanently
+
+## Credits
+
 Built by the C10X team using the Ultra-FineWeb classifier from OpenBMB.