Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:hindi_discourse')
  • Description:
The Hindi Discourse Analysis dataset is a corpus for analyzing discourse modes present in its sentences. 
It contains sentences from stories written by 11 famous authors from the 20th Century. 
4-5 stories by each author have been selected which were available in the public domain resulting 
in a collection of 53 stories. Most of these short stories were originally written in Hindi 
but some of them were written in other Indian languages and later translated to Hindi.
  • License: No known license
  • Version: 1.0.0
  • Splits:
Split Examples
'train' 9968
  • Features:
    "Story_no": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    "Sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    "Discourse Mode": {
        "num_classes": 6,
        "names": [
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"