Add/update dataset card

README.md

@@ -1,33 +1,132 @@
 ---
-dataset_info:
-  features:
-  - name: image_index
-    dtype: int64
-  - name: qid
-    dtype: string
-  - name: question_string
-    dtype: string
-  - name: answer_bbox
-    dtype: string
-  - name: template
-    dtype: string
-  - name: answer
-    dtype: string
-  - name: answer_id
-    dtype: int64
-  - name: type
-    dtype: string
-  - name: question_id
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 1118292863
-    num_examples: 5733893
-  download_size: 224163587
-  dataset_size: 1118292863
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+license: apache-2.0
+task_categories:
+- other
+language:
+- en
+tags:
+- dataset
+- pandas
+- parquet
+size_categories:
+- 1M<n<10M
+pretty_name: Plotqa V1
 ---
+
+# Plotqa V1
+
+## Dataset Description
+
+This dataset was uploaded from a pandas DataFrame.
+
+## Dataset Structure
+
+### Overview
+
+- **Total Examples**: 5,733,893
+- **Total Features**: 9
+- **Dataset Size**: ~2805.4 MB
+- **Format**: Parquet files
+- **Created**: 2025-09-22 20:12:01 UTC
+
+### Data Instances
+
+The dataset contains 5,733,893 rows and 9 columns.
+
+### Data Fields
+
+- **image_index** (int64): 0 null values (0.0%), Range: [0.00, 157069.00], Mean: 78036.26
+- **qid** (object): 0 null values (0.0%), 74 unique values
+- **question_string** (object): 0 null values (0.0%), 1,502,530 unique values
+- **answer_bbox** (object): 0 null values (0.0%), 798,805 unique values
+- **template** (object): 0 null values (0.0%), 6 unique values
+- **answer** (object): 0 null values (0.0%), 1,002,651 unique values
+- **answer_id** (int64): 0 null values (0.0%), Range: [0.00, 1481788.00], Mean: 185454.21
+- **type** (object): 0 null values (0.0%), 4 unique values
+- **question_id** (int64): 0 null values (0.0%), Range: [0.00, 2170651.00], Mean: 441648.27
+
+### Data Splits
+
+| Split | Number of Examples |
+|-------|-------------------|
+| train | 5,733,893 |
+
+## Dataset Creation
+
+This dataset was created by uploading a pandas DataFrame to Hugging Face Hub using the `datasets` library.
+
+### Source Data
+
+The data was processed and uploaded as parquet files for efficient storage and loading.
+
+## Usage
+
+### Loading the Dataset
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("Abd223653/PlotQA_V1")
+
+# Convert to pandas DataFrame
+df = dataset["train"].to_pandas()
+
+print(f"Dataset shape: {df.shape}")
+print(f"Columns: {list(df.columns)}")
+```
+
+### Streaming (Memory Efficient)
+
+```python
+from datasets import load_dataset
+
+# Load dataset in streaming mode
+dataset = load_dataset("Abd223653/PlotQA_V1", streaming=True)
+train_stream = dataset["train"]
+
+# Process in batches
+for batch in train_stream.iter(batch_size=1000):
+    # Process your batch here
+    print(f"Processing batch with {len(batch['column_name'])} examples")
+```
+
+### Basic Data Analysis
+
+```python
+import pandas as pd
+from datasets import load_dataset
+
+# Load and explore the dataset
+dataset = load_dataset("Abd223653/PlotQA_V1")
+df = dataset["train"].to_pandas()
+
+# Basic statistics
+print(df.info())
+print(df.describe())
+
+# Check for missing values
+print("Missing values per column:")
+print(df.isnull().sum())
+```
+
+## Data Quality
+
+### Missing Values
+
+- **Total missing values**: 0
+- **Columns with missing values**: 0
+- **Percentage of complete rows**: 100.0%
+
+### Data Types
+
+- **int64**: 3 columns
+- **object**: 6 columns
+
+## Limitations and Considerations
+
+- This dataset is provided as-is without warranty
+- Users should validate data quality for their specific use cases
+- Consider the licensing terms when using this dataset
+- Large datasets may require streaming or chunked processing
+