Loading datasets...
Task: N/A
Release Date: 9/7/2026
Format: MP4, SRT, CSV
Size: 79.13 GB
This dataset provides 50 hours of premium, rights-cleared English-language scripted film content drawn from established production catalogues. Delivered as 1080p+ MP4 files with a structured metadata sheet and English subtitles across all titles, the collection covers a wide spectrum of narrative genres. Rich metadata fields โ including cast, director, genre, and country of origin โ support nuanced filtering and domain-specific curation. Suitable for large-scale vision-language training, retrieval augmentation, and cinematic scene analysis.
Pricing details
Your purchase is the license to the raw data. Once purchased, you're responsible for storing and using this dataset.
Your purchase includes a license to the data, paid directly to the dataset vendor, and a 5% ($375.00) platform fee paid to MDC.
Licensing
CONTENT X LABS DATA LICENCE AGREEMENT 1.0
https://pebble-mouse-502.notion.site/mdc-data-licence-agreement-1-0Restrictions/Special Constraints
Solely for purpose of training artificial intelligence learning models.
No encouragement of violence, fraud or illegal activities in accordance to Hollywood practices and guidelines.
Forbidden Usage
No cloning or reproduction of any measure of content and specifically no cloning of actors' faces, voices and music in the output, etc...
Shall not be used for illegal purposes according to local law including commiting cyber-crimes or acts of violence.
Ethical Review
All content within this dataset is supplied by rights-holding content owners who have explicitly granted licensing permissions for AI training purposes under direct contractual agreement. Providers are fully informed of the intended use of their content at the point of licensing, and no content is included without express grant of rights covering AI and machine learning applications. Content owners retain ownership of their intellectual property throughout, and no personally identifiable information pertaining to individuals featured in the content is collected or distributed as part of this dataset.
Intended Use
Suitable for large-scale vision-language training, retrieval augmentation, and cinematic scene analysis.
Rights-cleared English scripted narrative video (~50 hours) with metadata and English subtitles.
Source catalogue is Content X Lab. Each title includes MP4 video plus sidecar subtitles and per-title metadata.
Packaged by Content X Lab from the Allrites rights-cleared catalogue for submission to Mozilla Data Collective.
Commercial catalogue titles already cleared for this distribution. No new crowdsourced recording was commissioned for this package.
Each content.csv row also includes bitrate, synopsis, director, cast, and tags.
Titles were selected from a rights-cleared scripted-narrative catalogue (Tier-1 / Content X Lab). Metadata (title, year, rating, synopsis, language, country, genres, credits, and media technical fields) comes from the production catalogue database. Subtitle files are the catalogue sidecar captions/subtitles stored with each video, not ASR generated for this package.
No additional annotation campaign was run. Ratings, tags, and synopses are catalogue values and may be incomplete or inconsistent across titles.
README.md โ package overview and directory layoutdatasheet.md โ this technical datasheetmetadata/content.csv โ one row per moviemetadata/subtitle.csv โ subtitle rows joined to video via Filenamemetadata/schema.json โ column names and typesmedia/movies/ contains one .mp4 per title (path in content.csv Filename)subtitles/movies/ contains matching subtitle files (path in subtitle.csv)Join path: content.csv.Filename = video path = subtitle.csv.Filename.
Subtitle file location is subtitle.csv.Subtitle Path.
import pandas as pd
from pathlib import Path
root = Path("english-scripted-narrative-rights-cleared-50-hours")
c pd.read_csv(root / "metadata" / "content.csv")
subs = pd.read_csv(root / "metadata" / "subtitle.csv")
df = content.merge(subs, on="Filename", how="left", suffixes=("", "_subtitle"))
# video path: root / row.Filename
# subtitle path: root / row["Subtitle Path"]
Full list:
| Title | Year | Rating | Runtime | Resolution | Country |
|---|---|---|---|---|---|
| Revival | 2008 | TV-PG | 48:56 | 3840x2160 | |
| Shiner | 2018 | PG | 1:34:31 | 1920x1080 | |
| Couch Survivor | 2016 | PG-13 | 1:36:32 | 1920x1080 | |
| Deprivation | 2019 | TV-MA | 1:25:56 | 1920x1080 | |
| Fourplay | 2018 | G | 1:16:03 | 2048x1152 | |
| Into the Flames | 2020 | PG-13 | 1:28:23 | 1920x1080 | |
| Lord of Tears | 2015 | PG-13 | 1:25:06 | 1920x1080 | |
| Sugar! | 2016 | G | 1:20:42 | 1920x1080 | |
| Terror Talk | 2016 | PG | 1:29:35 | 1920x1080 | |
| Tethered | 2019 | TV-MA | 1:33:16 | 1920x1080 | |
| The Last Treasure Hunt | 2016 | TV-14 | 1:34:45 | 1920x1080 | |
| The Unkindness of Ravens | 2019 | PG | 1:29:01 | 1920x1080 | |
| Family Games | 2018 | TV-14 | 1:12:20 | 1920x1080 | |
| Hero of the Underworld | 2018 | PG-13 | 1:22:38 | 1920x1080 | |
| Canadian Strain | 2019 | PG-13 | 1:18:58 | 1920x1080 | |
| Chinese Speaking Vampires | 2020 | PG-13 | 1:20:06 | 1920x1080 | |
| DriverX | 2018 | PG-13 | 1:43:08 | 1920x1080 | |
| Get Luke Lowe | 2019 | R | 1:22:31 | 1920x1080 | |
| Life on the Rocks | 2020 | PG-13 | 1:33:22 | 1920x1080 | |
| Santa Stole Our Dog | 2017 | G | 1:33:57 | 1920x1080 | |
| South of the River | 2020 | PG | 1:37:21 | 1920x1080 |
Intended: ML research / evaluation on rights-cleared narrative video and subtitles.
Not intended: treating this corpus as openly licensed / public-domain video; re-hosting titles outside Mozilla Data Collective and the catalogue license; using tags or synopses as gold-standard labels without review.
Custom license โ rights-cleared catalogue titles. Redistribution is limited to Mozilla Data Collective terms and any additional conditions on the listing.
This snapshot is generated from the catalogue export used to build the tarball. Updates require a new package build rather than in-place mutation of files already uploaded to Mozilla Data Collective.
Generated: 2026-09-02 02:15 UTC