mit_movie_trivia

Tasks:

Token Classification

Sub-tasks:

named-entity-recognition

Languages:

English

Size:

1K<n<10K

License:

Dataset card Files Files and versions

xet

Community

Dataset Viewer

The dataset viewer is not available for this dataset.

Cannot get the config names for the dataset.

Error code:   ConfigNamesError
Exception:    RuntimeError
Message:      Dataset scripts are no longer supported, but found mit_movie_trivia.py
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1031, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 989, in dataset_module_factory
                  raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
              RuntimeError: Dataset scripts are no longer supported, but found mit_movie_trivia.py

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Dataset Card for "tner/mit_movie_trivia"

Dataset Summary

MIT Movie NER dataset formatted in a part of TNER project.

Entity Types: Actor, Plot, Opinion, Award, Year, Genre, Origin, Director, Soundtrack, Relationship, Character_Name, Quote

Dataset Structure

Data Instances

An example of train looks as follows.

{
    'tags': [0, 13, 14, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 4],
    'tokens': ['a', 'steven', 'spielberg', 'film', 'featuring', 'a', 'bluff', 'called', 'devil', 's', 'tower', 'and', 'a', 'spectacular', 'mothership']
}

Label ID

The label2id dictionary can be found at here.

{
    "O": 0,
    "B-Actor": 1,
    "I-Actor": 2,
    "B-Plot": 3,
    "I-Plot": 4,
    "B-Opinion": 5,
    "I-Opinion": 6,
    "B-Award": 7,
    "I-Award": 8,
    "B-Year": 9,
    "B-Genre": 10,
    "B-Origin": 11,
    "I-Origin": 12,
    "B-Director": 13,
    "I-Director": 14,
    "I-Genre": 15,
    "I-Year": 16,
    "B-Soundtrack": 17,
    "I-Soundtrack": 18,
    "B-Relationship": 19,
    "I-Relationship": 20,
    "B-Character_Name": 21,
    "I-Character_Name": 22,
    "B-Quote": 23,
    "I-Quote": 24
}

Data Splits

name	train	validation	test
mit_movie_trivia	6816	1000	1953

Downloads last month: 3