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Datasets:
dknoller
/
danksy-dataset

Languages:
English
Tags:
Not-For-All-Audiences
conversational
custom-format
License:
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YAML Metadata Warning: The task_categories "json" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, other

Danksy Dataset - Alpha Version

This dataset is a preview of a larger goal - to create a repository of quality responses that can combine both structured json and general humor

- CAUTION: This dataset may contains words and definitions which can be considered "not safe for work" (NSFW) and/or heavily disturbing in nature. -

Dataset Summary

The dataset is represented with a JSONL file, with a singular JSON snippet representing one structured JSON request. Every snippet contains the following pieces of data:

  • prompt: A request to convert a general request to a structured JSON output
  • expected: The expected json output

Files

  • words.jsonl: A collection of words and their definition, sourced from urban dictionary

If you are using HuggingFace's datasets library, you can choose the file you wish to use by specifying the name of it (without extension) as an argument, like so: dataset = load_dataset("dknoller/danksy-dataset", 'words'). The default value is words.

Any relationship between the name of this dataset and any public personas is entirely and totally coincidential.

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