Dataset card Updated

README.md

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 ---
 license: mit
 task_categories:
-- text-classification
+  - text-classification
 language:
-- en
+  - en
 pretty_name: Reading Performance Dataset
 size_categories:
-- n<1K
----
+  - n<1K
+---
+
+## 📘 Reading Performance Dataset
+
+### 📌 Overview
+
+The **Reading Performance Dataset** is a small-scale tabular dataset designed to analyze **reading behavior and performance characteristics across diverse individuals**.
+It captures demographic attributes, reading habits, attention levels, and content difficulty to support educational data analysis and machine learning experiments.
+
+This dataset is suitable for **educational analytics**, **behavioral analysis**, and **predictive modeling** related to reading performance.
+
+### 📊 Dataset features
+
+Each row represents a **single reading session**.
+The dataset contains the following columns:
+
+| Feature Name                    | Type        | Description                                                                               |
+| ------------------------------- | ----------- | ----------------------------------------------------------------------------------------- |
+| `AGE_CATEGORY`                  | Categorical | Age group of the reader (e.g., `young_adult`).                                            |
+| `GENDER`                        | Categorical | Gender of the participant (`male`, `female`, `other`).                                    |
+| `MAJOR`                         | Categorical | Academic major or role of the reader (e.g., `student`).                                   |
+| `MINUTES_READING`               | Numeric     | Total duration (in minutes) spent actively reading during the session.                    |
+| `MINUTES_BREAK`                 | Numeric     | Total break time (in minutes) taken during reading.                                       |
+| `FOCUS_LEVEL`                   | Ordinal     | Level of focus during the reading session. Higher values indicate stronger concentration. |
+| `PAGES`                         | Numeric     | Number of pages read during the session.                                                  |
+| `CONTENT_LEVEL_ENUM`            | Ordinal     | Difficulty level of the reading material.                                                 |
+| `READING_GENRE`                 | Categorical | Genre of the reading material (e.g., academic, language, self-development).               |
+| `SOUND_VOLUME`                  | Ordinal     | Environmental sound intensity during reading, ranging from silent to extremely loud.      |
+| `DEVICE`                        | Categorical | Device or medium used for reading (e.g., laptop, smartphone, book, tablet).               |
+| `LOCATION`                      | Categorical | Physical environment where the reading session took place (e.g., home, library, café).    |
+| `WEATHER`                       | Categorical | Weather condition during the reading session (e.g., sunny, rainy, cloudy).                |
+| `MOOD`                          | Ordinal     | Emotional state of the reader during the session, from very bad to very good.             |
+| `HUNGER`                        | Ordinal     | Hunger or satiety level during reading.                                                   |
+| `AROUSAL`                       | Ordinal     | Cognitive arousal level, from very low to very high.                                      |
+| `MENTAL_IN_BREAK`               | Ordinal     | Mental state during breaks (e.g., chaotic, neutral, calm).                                |
+| `MENTAL_FATIGUE`                | Ordinal     | Level of mental fatigue experienced during the session.                                   |
+| `INTERESTING_LEVEL`             | Ordinal     | Degree of interest in the reading material.                                               |
+| `COMPREHENSION_DEPTH`           | Ordinal     | Depth of understanding achieved during reading.                                           |
+| `LINKING_TO_PREVIOUS_KNOWLEDGE` | Ordinal     | Extent to which new content was connected to prior knowledge.                             |
+
+### 🎯 Tasks
+
+This dataset can be used for:
+
+- Text / behavior classification
+- Educational performance analysis
+- Student reading habit modeling
+- Correlation analysis between focus, time, and output
+- Regression or classification experiments
+
+Although categorized under **text classification**, the dataset is also applicable to **tabular machine learning tasks**.
+
+### 🛠 Data Source & Generation
+
+The dataset was **synthetically curated / collected for educational and analytical purposes**.
+No personally identifiable information (PII) is included.
+
+### ⚖️ License
+
+This dataset is released under the **MIT License**, allowing free use, modification, and distribution with attribution.
+
+### 🚀 Usage Example (Python)
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("Bancie/Reading-Dataset")
+print(dataset)
+```
+
+### 📚 Citation
+
+```bibtex
+@dataset{bancie_reading_dataset_2025,
+  title        = {Reading Dataset},
+  author       = {Bancie},
+  year         = {2025},
+  publisher    = {Hugging Face},
+  howpublished = {\url{https://huggingface.co/datasets/Bancie/Reading-Dataset}},
+  license      = {MIT}
+}
+```

dataset/reading.parquet

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