# Deep Learning Dive-in Week Kaggle Challenge — Data

来源：https://www.kaggle.com/competitions/deep-learning-dive-in-week-kaggle-challenge/data

采集时间：2026-10-19T18:56:44Z

The dataset consists of two files:
**1. Training Data (train.csv):**
- Features: Columns labeled '1x1' through '28x28'.
- Target Labels: The 'label' column contains the class labels corresponding to each set of features.
- Entries: The training set includes 8000 entries.

**2. Testing Data (test.csv):**
- Features: Columns labeled '1x1' through '28x28'.
- Identification: The 'ID' column uniquely identifies each sample.
- Entries: The test set comprises 2000 entries.

**Submission Guidelines:**
- Predict labels based on the features provided in the 'test.csv' file.
- Update the predicted labels in the 'sample_submission.csv' file at the corresponding 'ID'.
- Submit the modified 'sample_submission.csv' for evaluation.


The 'id' column is to uniquely identify data points.