---
dataset_info:
  features:
  - name: url
    dtype: string
  - name: expected_hash
    dtype: string
  - name: row_index
    dtype: int64
  - name: points
    list:
    - name: x
      dtype: float64
    - name: 'y'
      dtype: float64
  - name: label
    dtype: string
  - name: counts
    dtype: 'null'
  splits:
  - name: train
    num_bytes: 122674295
    num_examples: 223994
  download_size: 57864866
  dataset_size: 122674295
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  
license: apache-2.0
---
# Dataset Card for Dataset Name

<!-- Provide a quick summary of the dataset. -->

This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).

## Dataset Details

### Dataset Description

The image url are saved in amazon server.

from datasets import load_dataset

data= load_dataset("shambhuDATA/Pixmo_dataset_223994",split="train")

example= data[0]

S3_BUCKET = "school-student-app"


S3_REGION = "ap-south-1"


S3_FOLDER = "pixmo_images/"



url =  f"https://{S3_BUCKET}.s3.{S3_REGION}.amazonaws.com/{S3_FOLDER}{example['expected_hash']}.jpg"