Datasets:

edwinlabrinth
/

MOVIES

Languages:

Arabic

English

License:

Dataset card Files Files and versions

xet

Community

Dataset Viewer

Duplicate

Split (1)

train

The dataset viewer is not available for this split.

Cannot load the dataset split (in streaming mode) to extract the first rows.

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
id: int64
slug: string
url: string
listing: struct<url: string, title: string, poster: string, genres: list<item: string>, quality: string, imdb (... 16 chars omitted)
  child 0, url: string
  child 1, title: string
  child 2, poster: string
  child 3, genres: list<item: string>
      child 0, item: string
  child 4, quality: string
  child 5, imdb_rating: double
scraped_at: timestamp[s]
download_servers: list<item: struct<quality: string, host: string, url: string>>
  child 0, item: struct<quality: string, host: string, url: string>
      child 0, quality: string
      child 1, host: string
      child 2, url: string
vidtube_sources: list<item: struct<host: string, qualities: string, url: string>>
  child 0, item: struct<host: string, qualities: string, url: string>
      child 0, host: string
      child 1, qualities: string
      child 2, url: string
resolutions: list<item: null>
  child 0, item: null
files: struct<poster: string, video: list<item: null>>
  child 0, poster: string
  child 1, video: list<item: null>
      child 0, item: null
errors: list<item: string>
  child 0, item: string
title: string
description: string
story: string
imdb_rating: double
categories: list<item: string>
  child 0, item: string
genres: list<item: string>
  child 0, item: string
quality: string
duration: string
release_year: string
language: string
country: string
cast: list<item: string>
  child 0, item: string
watch_url: string
download_url: string
shortlink: string
trailer_url: string
br
...
st: string
              child 2, url: string
      child 6, vidtube_sources: list<item: struct<host: string, qualities: string, url: string>>
          child 0, item: struct<host: string, qualities: string, url: string>
              child 0, host: string
              child 1, qualities: string
              child 2, url: string
      child 7, resolutions: list<item: null>
          child 0, item: null
      child 8, files: struct<poster: string, video: list<item: null>>
          child 0, poster: string
          child 1, video: list<item: null>
              child 0, item: null
      child 9, errors: list<item: string>
          child 0, item: string
      child 10, title: string
      child 11, description: string
      child 12, story: string
      child 13, imdb_rating: double
      child 14, categories: list<item: string>
          child 0, item: string
      child 15, genres: list<item: string>
          child 0, item: string
      child 16, quality: string
      child 17, duration: string
      child 18, release_year: string
      child 19, language: string
      child 20, country: string
      child 21, cast: list<item: string>
          child 0, item: string
      child 22, watch_url: string
      child 23, download_url: string
      child 24, shortlink: string
      child 25, trailer_url: string
      child 26, breadcrumbs: list<item: string>
          child 0, item: string
      child 27, poster_url: string
      child 28, ok: bool
source: string
dataset: string
to
{'generated_at': Value('timestamp[s]'), 'source': Value('string'), 'dataset': Value('string'), 'requested_pages': Value('int64'), 'movie_count': Value('int64'), 'movies': List({'id': Value('int64'), 'slug': Value('string'), 'url': Value('string'), 'listing': {'url': Value('string'), 'title': Value('string'), 'poster': Value('string'), 'genres': List(Value('string')), 'quality': Value('string'), 'imdb_rating': Value('float64')}, 'scraped_at': Value('timestamp[s]'), 'download_servers': List({'quality': Value('string'), 'host': Value('string'), 'url': Value('string')}), 'vidtube_sources': List({'host': Value('string'), 'qualities': Value('string'), 'url': Value('string')}), 'resolutions': List(Value('null')), 'files': {'poster': Value('string'), 'video': List(Value('null'))}, 'errors': List(Value('string')), 'title': Value('string'), 'description': Value('string'), 'story': Value('string'), 'imdb_rating': Value('float64'), 'categories': List(Value('string')), 'genres': List(Value('string')), 'quality': Value('string'), 'duration': Value('string'), 'release_year': Value('string'), 'language': Value('string'), 'country': Value('string'), 'cast': List(Value('string')), 'watch_url': Value('string'), 'download_url': Value('string'), 'shortlink': Value('string'), 'trailer_url': Value('string'), 'breadcrumbs': List(Value('string')), 'poster_url': Value('string'), 'ok': Value('bool')})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              id: int64
              slug: string
              url: string
              listing: struct<url: string, title: string, poster: string, genres: list<item: string>, quality: string, imdb (... 16 chars omitted)
                child 0, url: string
                child 1, title: string
                child 2, poster: string
                child 3, genres: list<item: string>
                    child 0, item: string
                child 4, quality: string
                child 5, imdb_rating: double
              scraped_at: timestamp[s]
              download_servers: list<item: struct<quality: string, host: string, url: string>>
                child 0, item: struct<quality: string, host: string, url: string>
                    child 0, quality: string
                    child 1, host: string
                    child 2, url: string
              vidtube_sources: list<item: struct<host: string, qualities: string, url: string>>
                child 0, item: struct<host: string, qualities: string, url: string>
                    child 0, host: string
                    child 1, qualities: string
                    child 2, url: string
              resolutions: list<item: null>
                child 0, item: null
              files: struct<poster: string, video: list<item: null>>
                child 0, poster: string
                child 1, video: list<item: null>
                    child 0, item: null
              errors: list<item: string>
                child 0, item: string
              title: string
              description: string
              story: string
              imdb_rating: double
              categories: list<item: string>
                child 0, item: string
              genres: list<item: string>
                child 0, item: string
              quality: string
              duration: string
              release_year: string
              language: string
              country: string
              cast: list<item: string>
                child 0, item: string
              watch_url: string
              download_url: string
              shortlink: string
              trailer_url: string
              br
              ...
              st: string
                            child 2, url: string
                    child 6, vidtube_sources: list<item: struct<host: string, qualities: string, url: string>>
                        child 0, item: struct<host: string, qualities: string, url: string>
                            child 0, host: string
                            child 1, qualities: string
                            child 2, url: string
                    child 7, resolutions: list<item: null>
                        child 0, item: null
                    child 8, files: struct<poster: string, video: list<item: null>>
                        child 0, poster: string
                        child 1, video: list<item: null>
                            child 0, item: null
                    child 9, errors: list<item: string>
                        child 0, item: string
                    child 10, title: string
                    child 11, description: string
                    child 12, story: string
                    child 13, imdb_rating: double
                    child 14, categories: list<item: string>
                        child 0, item: string
                    child 15, genres: list<item: string>
                        child 0, item: string
                    child 16, quality: string
                    child 17, duration: string
                    child 18, release_year: string
                    child 19, language: string
                    child 20, country: string
                    child 21, cast: list<item: string>
                        child 0, item: string
                    child 22, watch_url: string
                    child 23, download_url: string
                    child 24, shortlink: string
                    child 25, trailer_url: string
                    child 26, breadcrumbs: list<item: string>
                        child 0, item: string
                    child 27, poster_url: string
                    child 28, ok: bool
              source: string
              dataset: string
              to
              {'generated_at': Value('timestamp[s]'), 'source': Value('string'), 'dataset': Value('string'), 'requested_pages': Value('int64'), 'movie_count': Value('int64'), 'movies': List({'id': Value('int64'), 'slug': Value('string'), 'url': Value('string'), 'listing': {'url': Value('string'), 'title': Value('string'), 'poster': Value('string'), 'genres': List(Value('string')), 'quality': Value('string'), 'imdb_rating': Value('float64')}, 'scraped_at': Value('timestamp[s]'), 'download_servers': List({'quality': Value('string'), 'host': Value('string'), 'url': Value('string')}), 'vidtube_sources': List({'host': Value('string'), 'qualities': Value('string'), 'url': Value('string')}), 'resolutions': List(Value('null')), 'files': {'poster': Value('string'), 'video': List(Value('null'))}, 'errors': List(Value('string')), 'title': Value('string'), 'description': Value('string'), 'story': Value('string'), 'imdb_rating': Value('float64'), 'categories': List(Value('string')), 'genres': List(Value('string')), 'quality': Value('string'), 'duration': Value('string'), 'release_year': Value('string'), 'language': Value('string'), 'country': Value('string'), 'cast': List(Value('string')), 'watch_url': Value('string'), 'download_url': Value('string'), 'shortlink': Value('string'), 'trailer_url': Value('string'), 'breadcrumbs': List(Value('string')), 'poster_url': Value('string'), 'ok': Value('bool')})}
              because column names don't match

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.

TopCinema Movies Catalog

Structured catalog scraped from https://web.topcinema.io on 2026-10-13T22:55:15Z. Contains 1 movies.

This dataset mirrors third-party download links and files for copyrighted movies and is provided for research/archival purposes only. Rights remain with the original owners.

Layout

movies.json              # the full catalog (this file's contents)
movies/<id>.json         # one JSON document per movie
posters/<id>.<ext>       # movie posters
videos/<id>/<quality>.mp4# downloadable video files (when enabled)

`movies.json` schema (per movie)

id, title, slug, url, watch_url, download_url, shortlink
story, description, genres, categories, cast, language, country
quality, duration, release_year, imdb_rating, poster_url
download_servers: mirror hosts grouped by quality
vidtube_sources: the VideoTube pages that list every resolution
resolutions: every available resolution with label, dimensions, size, vidtube_url, direct_url, filesize, bytes and hf_path
files: uploaded poster path and list of video paths

Downloads last month: 124

Total file size:

7.65 GB

TopCinema Movies Catalog

Layout

movies.json schema (per movie)

`movies.json` schema (per movie)