dataset_info.json

{
  "citation": "@misc{\n  author={Karpathy, Andrej},\n  title={char-rnn},\n  year={2015},\n  howpublished={\\url{https://github.com/karpathy/char-rnn}}\n}", 
  "description": "40,000 lines of Shakespeare from a variety of Shakespeare's plays. Featured in Andrej Karpathy's blog post 'The Unreasonable Effectiveness of Recurrent Neural Networks': http://karpathy.github.io/2015/05/21/rnn-effectiveness/.\n\nTo use for e.g. character modelling:\n```\nd = tfds.load(name='tiny_shakespeare')['train']\nd = d.map(lambda x: tf.strings.unicode_split(x['text'], 'UTF-8'))\n# train split includes vocabulary for other splits\nvocabulary = sorted(set(next(iter(d)).numpy()))\nd = d.map(lambda x: {'cur_char': x[:-1], 'next_char': x[1:]})\nd = d.unbatch()\nseq_len = 100\nbatch_size = 2\nd = d.batch(seq_len)\nd = d.batch(batch_size)\n```", 
  "location": {
    "urls": [
      "https://github.com/karpathy/char-rnn/blob/master/data/tinyshakespeare/input.txt"
    ]
  }, 
  "name": "tiny_shakespeare", 
  "schema": {
    "feature": [
      {
        "name": "text", 
        "type": "BYTES"
      }
    ]
  }, 
  "splits": [
    {
      "name": "test", 
      "numBytes": "55796", 
      "numShards": "1", 
      "shardLengths": [
        "1"
      ], 
      "statistics": {
        "features": [
          {
            "bytesStats": {
              "commonStats": {
                "numNonMissing": "1"
              }
            }, 
            "name": "text", 
            "type": "BYTES"
          }
        ], 
        "numExamples": "1"
      }
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      "name": "train", 
      "numBytes": "1003880", 
      "numShards": "1", 
      "shardLengths": [
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      "statistics": {
        "features": [
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              "commonStats": {
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            }, 
            "name": "text", 
            "type": "BYTES"
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        "numExamples": "1"
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    }, 
    {
      "name": "validation", 
      "numBytes": "55796", 
      "numShards": "1", 
      "shardLengths": [
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      "statistics": {
        "features": [
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            "bytesStats": {
              "commonStats": {
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            "name": "text", 
            "type": "BYTES"
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        "numExamples": "1"
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  "version": "1.0.0"
}