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---
license: mit
task_categories:
- text-generation
language:
- en1
size_categories:
- 10K<n<100K
data_files:
- split: train
  path: "train.parquet"
- split: test
  path: "test.parquet"
- split: validation
  path: "vaidation.parquet"
---

![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6529649ef12059832245402a/XgL4tZhZd0fuYMcIJnifC.jpeg)

# Dataset Card for AgathaChristieText

    There is a tide in the affairs of men,
    Which, taken at the flood, leads on to fortune, 
    Omitted, all the voyage of their life
    Is bound in shallows and in miseries.
    On such a full sea are we now afloat,
    And we must take the current when it serves, 
    Or lose our ventures.

## Dataset Summary

The agatha_christie dataset contains the complete works of Agatha Christie, 
including the novels, short stories, and plays. The dataset is in English and contains 
110 works in total. The dataset is intended for text generation tasks, such as language
modeling, and can be used to train models to generate text in the style of Agatha Christie.

## Supported Tasks and Leaderboards

The dataset can be used for text generation tasks, such as language modeling. The dataset 
can be used to train models to generate text in the style of Agatha Christie.

## Languages

The text in the dataset is in English.

## Dataset Structure

### Dataset instances
The following is an example sample from the dataset. 

  {"text":"Mrs. McGillicuddy was short and stout, the porter was tall and
  free-striding. In addition, Mrs. McGillicuddy was burdened with a large
  quantity of parcels; the result of a day’s Christmas shopping. The race was,
  therefore, an uneven one, and the porter turned the corner at the end of the
  platform whilst Mrs. McGillicuddy was still coming up the straight.",
  "source": "4-50 from paddington - agatha christie.epub"
  }

### Data Fields

- text: The text of the work chunked into semantic segments by llamaindex SemanticNodeParser.
- source: The source material of the text.

### Splits

The dataset is split into tain, test and validation splits.

- train.parquet
- test.parquet
- validation.parquet