# AutoNLP Dataset for project: Doctor_DE

## Table of content
- [Dataset Description](#dataset-description)
    - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)

## Dataset Descritpion

This dataset has been automatically processed by AutoNLP for project Doctor_DE.

### Languages

The BCP-47 code for the dataset's language is de.

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
  {
    "text": "Ich bin nun seit ca 12 Jahren Patientin in dieser Praxis und kann einige der Kommentare hier ehrlich gesagt \u00fcberhaupt nicht nachvollziehen.<br />\nFr. Dr. Gr\u00f6ber Pohl ist in meinen Augen eine unglaublich nette und kompetente \u00c4rztin. Ich kenne in meinem Familien- und Bekanntenkreis viele die bei ihr in Behandlung sind, und alle sind sehr zufrieden!<br />\nSie nimmt sich immer viel Zeit und auch in meiner Schwangerschaft habe ich mich bei ihr immer gut versorgt gef\u00fchlt, und musste daf\u00fcr kein einziges Mal in die Tasche greifen!<br />\nDas einzig negative ist die lange Wartezeit in der Praxis. Daf\u00fcr nimmt sie sich aber auch Zeit und arbeitet nicht wie andere \u00c4rzte wie am Flie\u00dfband.<br />\nIch kann sie nur weiter empfehlen!",
    "target": 1.0
  },
  {
    "text": "Ich hatte nie den Eindruck \"Der N\u00e4chste bitte\" Er hatte sofort meine Beschwerden erkannt und Abhilfe geschafft.",
    "target": 1.0
  }
]
```

### Dataset Fields

The dataset has the following fields (also called "features"):

```json
{
  "text": "Value(dtype='string', id=None)",
  "target": "Value(dtype='float32', id=None)"
}
```

### Dataset Splits

This dataset is split into a train and validation split. The split sizes are as follow:

| Split name   | Num samples         |
| ------------ | ------------------- |
| train        | 280191 |
| valid        | 70050 |

task_categories:text-classification task_ids:text-scoring language:de region:us
{"language": ["de"], "task_categories": ["text-classification"], "task_ids": ["text-scoring"]}
TAGS
#task_categories-text-classification #task_ids-text-scoring #language-German #region-us 

AutoNLP Dataset for project: Doctor\_DE
=======================================


Table of content
----------------


* Dataset Description
	+ Languages
* Dataset Structure
	+ Data Instances
	+ Data Fields
	+ Data Splits


Dataset Descritpion
-------------------


This dataset has been automatically processed by AutoNLP for project Doctor\_DE.


### Languages


The BCP-47 code for the dataset's language is de.


Dataset Structure
-----------------


### Data Instances


A sample from this dataset looks as follows:


### Dataset Fields


The dataset has the following fields (also called "features"):


### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow:




### Languages


The BCP-47 code for the dataset's language is de.


Dataset Structure
----------------- ### Data Instances


A sample from this dataset looks as follows: ### Dataset Fields


The dataset has the following fields (also called "features"): ### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow:
TAGS
#task_categories-text-classification #task_ids-text-scoring #language-German #region-us 
 ### Languages


The BCP-47 code for the dataset's language is de.


Dataset Structure
----------------- ### Data Instances


A sample from this dataset looks as follows: ### Dataset Fields


The dataset has the following fields (also called "features"): ### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow:
passage: TAGS
#task_categories-text-classification #task_ids-text-scoring #language-German #region-us 
### Languages


The BCP-47 code for the dataset's language is de.


Dataset Structure
-----------------### Data Instances


A sample from this dataset looks as follows:### Dataset Fields


The dataset has the following fields (also called "features"):### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow: