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mf99
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autotrain-data-sum-200-random

Languages: English
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ab99074742b699a2
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YAML Metadata Warning: The task_categories "conditional-text-generation" 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

AutoTrain Dataset for project: sum-200-random

Dataset Descritpion

This dataset has been automatically processed by AutoTrain for project sum-200-random.

Languages

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

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

[
  {
    "text": "aen: {Forest hermit to Professor, it's never too late to change. | Dr. Gregory P. Smith | TEDxByronB[...]",
    "target": "Fire, plenty of ferns to sleep on and an endless supply of alcohol. 65"
  },
  {
    "text": "aen: {William Noel: Revealing the lost codex of Archimedes}{from 62% to 72%}{And combinatorics is a [...]",
    "target": "The really astonishing thing though about this manuscript is that we looked at the other manuscripts[...]"
  }
]

Dataset Fields

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

{
  "text": "Value(dtype='string', id=None)",
  "target": "Value(dtype='string', 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 451280
valid 112821
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