# Copy of Natural Language Processing with Disaster — Data

来源：https://www.kaggle.com/competitions/copy-of-natural-language-processing-with-disaster/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

## What files do I need?

You'll need **train.csv**, **test.csv** and **sample\_submission.csv**.

## What should I expect the data format to be?

Each sample in the train and test set has the following information:

*   The `text` of a tweet
*   A `keyword` from that tweet (although this may be blank!)
*   The `location` the tweet was sent from (may also be blank)

## What am I predicting?

You are predicting whether a given tweet is about a real disaster or not. If so, predict a `1`. If not, predict a `0`.


## Files

*   **train.csv** - the training set
*   **test.csv** - the test set
*   **sample_submission.csv** - a sample submission file in the correct format

## Columns

*   `id` - a unique identifier for each tweet
*   `text` - the text of the tweet
*   `location` - the location the tweet was sent from (may be blank)
*   `keyword` - a particular keyword from the tweet (may be blank)
*   `target` - in **train.csv** only, this denotes whether a tweet is about a real disaster (`1`) or not (`0`)