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README.md ADDED
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+ ---
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+ pretty_name: SponsorBlock YouTube Metadata
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+ license: cc-by-4.0
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+ language:
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+ - en
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+ - ru
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+ - hi
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+ - pl
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+ - pt
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+ - de
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+ - fr
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+ - es
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+ - vi
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+ - multilingual
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+ annotations_creators:
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+ - machine-generated
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+ language_creators:
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+ - machine-generated
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - text-classification
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+ - feature-extraction
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+ - text-generation
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+ tags:
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+ - youtube
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+ - video-metadata
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+ - sponsorblock
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+ - subtitles
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+ - engagement
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+ - viewer-behavior
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+ - captions
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+ - transcripts
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+ size_categories:
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+ - 10M<n<100M
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+ configs:
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+ - config_name: video_metadata
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+ data_files:
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+ - split: train
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+ path: video_metadata/*.parquet
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+ default: true
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+ - config_name: subtitles
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+ data_files:
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+ - split: train
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+ path: subtitles/*.parquet
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+ - config_name: channel_playlists
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+ data_files:
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+ - split: train
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+ path: channel_playlists/*.parquet
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+ - config_name: heatmaps
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+ data_files:
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+ - split: train
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+ path: heatmaps/*.parquet
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+ - config_name: live_chat
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+ data_files:
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+ - split: train
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+ path: live_chat/*.parquet
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+ dataset_info:
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+ - config_name: video_metadata
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+ features:
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+ - name: id
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+ dtype: string
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+ - name: title
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+ dtype: string
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+ - name: description
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+ dtype: string
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+ - name: upload_date
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+ dtype: string
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+ - name: duration
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+ dtype: int64
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+ - name: view_count
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+ dtype: int64
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+ - name: like_count
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+ dtype: int64
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+ - name: channel
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+ dtype: string
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+ - name: channel_id
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+ dtype: string
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+ splits:
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+ - name: train
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+ num_examples: 154536
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+ - config_name: subtitles
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+ features:
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+ - name: video_id
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+ dtype: string
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+ - name: language
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+ dtype: string
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+ - name: full_text
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+ dtype: string
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+ - name: segments_json
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+ dtype: string
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+ splits:
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+ - name: train
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+ num_examples: 62819
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+ - config_name: channel_playlists
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+ features:
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+ - name: id
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+ dtype: string
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+ - name: title
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+ dtype: string
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+ - name: channel_id
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+ dtype: string
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+ - name: playlist_index
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+ dtype: int64
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+ - name: view_count
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+ dtype: int64
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+ splits:
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+ - name: train
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+ num_examples: 20800000
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+ - config_name: heatmaps
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+ features:
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+ - name: video_id
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+ dtype: string
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+ - name: start_time
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+ dtype: float64
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+ - name: end_time
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+ dtype: float64
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+ - name: value
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+ dtype: float64
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+ splits:
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+ - name: train
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+ num_examples: 15000000
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+ - config_name: live_chat
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+ features:
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+ - name: video_id
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+ dtype: string
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+ - name: author_name
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+ dtype: string
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+ - name: message
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+ dtype: string
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+ - name: message_type
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+ dtype: string
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+ splits:
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+ - name: train
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+ num_examples: 5000000
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+ ---
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+
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+ # SponsorBlock YouTube Metadata Dataset
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+
140
+ A dataset of YouTube video metadata collected from a subset of videos in the [SponsorBlock](https://sponsor.ajay.app/) database. This dataset contains metadata, subtitles, engagement heatmaps, live chat, and channel playlist information for popular YouTube videos.
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+
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+ ## Quick Stats
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+
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+ | Metric | Value |
145
+ |--------|-------|
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+ | Total videos | 154,536 |
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+ | Videos with subtitles | 62,819 (41%) |
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+ | Videos with heatmaps | ~92% |
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+ | Videos with chapters | ~32% |
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+ | Livestream recordings | 4,300 |
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+ | Unique channels | 20,061 |
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+ | Channel playlist entries | ~20.8M |
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+ | Average video duration | 28.6 minutes |
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+ | Average view count | 1.6M views |
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+
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+ ## Collection Period
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+
158
+ | Data Type | Collection Date | Content Date Range |
159
+ |-----------|-----------------|-------------------|
160
+ | Video metadata | Aug 9 - Sep 30, 2025 | May 2019 - Dec 2024 |
161
+ | Channel playlists | Oct 2-5, 2025 | Varies by channel |
162
+
163
+ **Note**: All metrics (view counts, likes, subscriber counts) are snapshots from the collection date and do not represent historical data.
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+
165
+ ## Data Source
166
+
167
+ Videos were selected from a **subset** of the [SponsorBlock](https://sponsor.ajay.app/) database, a crowdsourced browser extension for skipping sponsor segments. The subset was created by sorting all videos by their SponsorBlock **vote count** (total upvotes on submitted segments) and selecting the top ~167K video IDs. This selection method biases the dataset toward:
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+
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+ - **Highly-engaged SponsorBlock content** — videos with many user-submitted and upvoted segments
170
+ - **Popular videos** with large, active communities
171
+ - **Gaming, tech, and entertainment** content (common SponsorBlock categories)
172
+ - Videos with **sponsor segments** (brand deals, mid-roll ads)
173
+ - **English-language** content primarily, with significant Russian, Hindi, and European language representation
174
+
175
+ **Note**: This dataset does not represent a random sample of YouTube or even a random sample of SponsorBlock. Videos were specifically selected for having high engagement within the SponsorBlock community.
176
+
177
+ ### Category Distribution
178
+
179
+ | Category | Percentage |
180
+ |----------|------------|
181
+ | Gaming | 15% |
182
+ | Entertainment | 11% |
183
+ | People & Blogs | 8% |
184
+ | Science & Technology | 6% |
185
+ | Education | 5% |
186
+ | Other | 55% |
187
+
188
+ ### Language Distribution
189
+
190
+ | Language | Percentage |
191
+ |----------|------------|
192
+ | English (en, en-US) | 25% |
193
+ | Russian | 16% |
194
+ | Hindi | 2.5% |
195
+ | Polish | 2% |
196
+ | Other | 54.5% |
197
+
198
+ ## Dataset Configurations
199
+
200
+ ### `video_metadata`
201
+
202
+ Full metadata for 154,536 individual YouTube videos.
203
+
204
+ | Column | Type | Description |
205
+ |--------|------|-------------|
206
+ | `id` | string | YouTube video ID (11 characters) |
207
+ | `title` | string | Video title |
208
+ | `fulltitle` | string | Full video title |
209
+ | `description` | string | Video description (may be truncated) |
210
+ | `upload_date` | string | Upload date (YYYYMMDD format) |
211
+ | `timestamp` | int64 | Unix timestamp of upload |
212
+ | `duration` | int64 | Duration in seconds |
213
+ | `view_count` | int64 | Number of views at collection time |
214
+ | `like_count` | int64 | Number of likes at collection time |
215
+ | `comment_count` | int64 | Number of comments at collection time |
216
+ | `channel` | string | Channel display name |
217
+ | `channel_id` | string | YouTube channel ID (24 characters, starts with UC) |
218
+ | `channel_url` | string | Full channel URL |
219
+ | `channel_follower_count` | int64 | Subscriber count at collection time |
220
+ | `channel_is_verified` | bool | Whether channel has verification badge |
221
+ | `uploader` | string | Uploader name (usually same as channel) |
222
+ | `uploader_id` | string | Uploader handle (@username) |
223
+ | `width` | int64 | Video width in pixels |
224
+ | `height` | int64 | Video height in pixels |
225
+ | `fps` | float64 | Frames per second |
226
+ | `vcodec` | string | Video codec (e.g., vp9, av01, avc1) |
227
+ | `acodec` | string | Audio codec (e.g., opus, mp4a) |
228
+ | `dynamic_range` | string | SDR or HDR |
229
+ | `aspect_ratio` | float64 | Width/height ratio |
230
+ | `age_limit` | int64 | Age restriction (0 = none, 18 = adult) |
231
+ | `availability` | string | public, unlisted, or private |
232
+ | `live_status` | string | not_live, is_live, was_live, is_upcoming |
233
+ | `was_live` | bool | True if video was a livestream |
234
+ | `is_live` | bool | True if currently live |
235
+ | `language` | string | Detected video language (ISO 639-1) |
236
+ | `playable_in_embed` | bool | Whether embedding is allowed |
237
+ | `categories` | string | JSON array of YouTube categories |
238
+ | `tags` | string | JSON array of video tags |
239
+ | `thumbnail` | string | URL of highest quality thumbnail |
240
+ | `chapters_json` | string | JSON array of `{title, start_time, end_time}` |
241
+
242
+ ### `subtitles`
243
+
244
+ Extracted subtitles for 62,819 videos (41% coverage).
245
+
246
+ | Column | Type | Description |
247
+ |--------|------|-------------|
248
+ | `video_id` | string | YouTube video ID |
249
+ | `language` | string | Subtitle language code |
250
+ | `full_text` | string | Concatenated plain text of all subtitles |
251
+ | `segments_json` | string | JSON array of `{start, end, text}` segments |
252
+
253
+ **Note**: These are auto-generated captions from YouTube, not human-created subtitles.
254
+
255
+ ### `channel_playlists`
256
+
257
+ Video entries from 20,061 channel upload playlists (~20.8M total entries).
258
+
259
+ | Column | Type | Description |
260
+ |--------|------|-------------|
261
+ | `id` | string | YouTube video ID |
262
+ | `title` | string | Video title |
263
+ | `description` | string | Video description |
264
+ | `duration` | int64 | Duration in seconds |
265
+ | `view_count` | int64 | Number of views |
266
+ | `timestamp` | int64 | Unix timestamp |
267
+ | `upload_date` | string | Upload date (YYYYMMDD) |
268
+ | `channel` | string | Channel name |
269
+ | `channel_id` | string | Channel ID |
270
+ | `playlist` | string | Playlist name (usually "Uploads from [Channel]") |
271
+ | `playlist_id` | string | Playlist ID |
272
+ | `playlist_count` | int64 | Total videos in channel's upload playlist |
273
+ | `playlist_index` | int64 | Position in playlist (1 = newest) |
274
+ | `thumbnail` | string | Thumbnail URL |
275
+
276
+ **Use cases**: Channel growth analysis, upload frequency patterns, content strategy analysis.
277
+
278
+ ### `heatmaps`
279
+
280
+ Viewer engagement heatmaps showing which parts of videos are most watched. ~92% of videos have heatmap data, with ~100 segments per video.
281
+
282
+ | Column | Type | Description |
283
+ |--------|------|-------------|
284
+ | `video_id` | string | YouTube video ID |
285
+ | `start_time` | float64 | Segment start in seconds |
286
+ | `end_time` | float64 | Segment end in seconds |
287
+ | `value` | float64 | Relative engagement score (0.0 - 1.0) |
288
+
289
+ **How to interpret**: Values represent relative rewatch/skip behavior. Higher values indicate segments that viewers replay or don't skip. Values near 0 indicate frequently skipped segments (often intros, sponsor reads).
290
+
291
+ **Use cases**: Identifying engaging content patterns, sponsor segment detection, intro/outro detection, content quality analysis.
292
+
293
+ ### `live_chat`
294
+
295
+ Chat messages from 4,300 livestream recordings.
296
+
297
+ | Column | Type | Description |
298
+ |--------|------|-------------|
299
+ | `video_id` | string | YouTube video ID |
300
+ | `message_id` | string | Unique message ID |
301
+ | `timestamp_usec` | int64 | Message timestamp in microseconds |
302
+ | `video_offset_msec` | int64 | Video playback time when message appeared |
303
+ | `author_name` | string | Display name of message author |
304
+ | `author_channel_id` | string | Author's YouTube channel ID |
305
+ | `message` | string | Message text content |
306
+ | `message_type` | string | text, paid (Super Chat), membership, gift |
307
+
308
+ **Use cases**: Chat sentiment analysis, community engagement patterns, Super Chat analysis.
309
+
310
+ ## Raw Data Archives
311
+
312
+ In addition to the processed parquet files, the complete raw yt-dlp output is available as compressed archives in the `raw/` directory:
313
+
314
+ | Archive | Contents | Compressed | Uncompressed |
315
+ |---------|----------|------------|--------------|
316
+ | `video_metadata.tar.zst` | 154K `.info.json` files | 1.6 GB | 56 GB |
317
+ | `subtitles.tar.zst` | 62K `.vtt` files | 2.5 GB | 12 GB |
318
+ | `live_chat.tar.zst` | 4K `.live_chat.json` files | 897 MB | 14 GB |
319
+ | `channel_playlists.tar.zst` | 20K channel `.json` files | 3.4 GB | 48 GB |
320
+ | **Total** | | **8.2 GB** | **130 GB** |
321
+
322
+ ### Extracting Raw Data
323
+
324
+ ```bash
325
+ # Extract with zstd
326
+ tar -I zstd -xvf raw/video_metadata.tar.zst
327
+
328
+ # Or with explicit zstd command
329
+ zstd -d raw/video_metadata.tar.zst -c | tar -xvf -
330
+ ```
331
+
332
+ ### Additional Fields in Raw Data
333
+
334
+ The raw JSON files contain fields not included in the parquet files:
335
+
336
+ - `formats` - All available streaming URLs and quality options
337
+ - `thumbnails` - All thumbnail resolutions
338
+ - `automatic_captions` - Caption availability for 150+ languages
339
+ - `subtitles` - Manual subtitle availability
340
+ - `requested_formats` - Selected format details
341
+ - `http_headers` - Request headers used
342
+
343
+ ## Usage Examples
344
+
345
+ ### Basic Loading
346
+
347
+ ```python
348
+ from datasets import load_dataset
349
+
350
+ # Load video metadata
351
+ videos = load_dataset("ScriptSmith/sponsorblock-youtube-metadata-2024", "video_metadata")
352
+ print(f"Loaded {len(videos['train']):,} videos")
353
+
354
+ # Load with streaming for large configs
355
+ playlists = load_dataset(
356
+ "ScriptSmith/sponsorblock-youtube-metadata-2024",
357
+ "channel_playlists",
358
+ streaming=True
359
+ )
360
+ ```
361
+
362
+ ### Analyzing Engagement Patterns
363
+
364
+ ```python
365
+ import json
366
+ from datasets import load_dataset
367
+
368
+ videos = load_dataset("ScriptSmith/sponsorblock-youtube-metadata-2024", "video_metadata")
369
+ heatmaps = load_dataset("ScriptSmith/sponsorblock-youtube-metadata-2024", "heatmaps")
370
+
371
+ # Find videos with high early drop-off (bad intros)
372
+ # Join on video_id, look for low values in first 30 seconds
373
+ ```
374
+
375
+ ### Working with Subtitles
376
+
377
+ ```python
378
+ import json
379
+ from datasets import load_dataset
380
+
381
+ subtitles = load_dataset("ScriptSmith/sponsorblock-youtube-metadata-2024", "subtitles")
382
+
383
+ # Parse segments
384
+ for row in subtitles['train']:
385
+ segments = json.loads(row['segments_json'])
386
+ for seg in segments:
387
+ print(f"{seg['start']:.1f}s: {seg['text']}")
388
+ ```
389
+
390
+ ### Channel Analysis
391
+
392
+ ```python
393
+ from datasets import load_dataset
394
+ from collections import Counter
395
+
396
+ playlists = load_dataset("ScriptSmith/sponsorblock-youtube-metadata-2024", "channel_playlists")
397
+
398
+ # Count videos per channel
399
+ channel_counts = Counter(row['channel_id'] for row in playlists['train'])
400
+ print(f"Most prolific: {channel_counts.most_common(10)}")
401
+ ```
402
+
403
+ ## Known Limitations
404
+
405
+ 1. **Temporal snapshot**: All metrics are from collection time (Aug-Oct 2025) and don't reflect current values or historical trends.
406
+
407
+ 2. **Selection bias**: Videos come from SponsorBlock, biasing toward sponsored content and certain genres (gaming, tech).
408
+
409
+ 3. **Missing data**: Not all videos have subtitles (41%), heatmaps (92%), or chapters (32%).
410
+
411
+ 4. **Deleted content**: Some videos may have been deleted or made private since collection.
412
+
413
+ 5. **Auto-captions**: Subtitles are YouTube's auto-generated captions, which may contain transcription errors.
414
+
415
+ 6. **Truncated descriptions**: Very long descriptions may be truncated.
416
+
417
+ 7. **Regional availability**: Some videos may be region-locked; metadata reflects availability from the collection location.
418
+
419
+ ## License
420
+
421
+ This dataset is released under **CC-BY-4.0**. The underlying video content belongs to the respective creators. This dataset contains only metadata, not the actual video/audio content.
422
+
423
+ ## Citation
424
+
425
+ ```bibtex
426
+ @dataset{sponsorblock_youtube_metadata_2025,
427
+ title={SponsorBlock YouTube Metadata Dataset},
428
+ author={Smith, Adam},
429
+ year={2025},
430
+ url={https://huggingface.co/datasets/ScriptSmith/sponsorblock-youtube-metadata-2024},
431
+ note={Metadata for 154K YouTube videos from the SponsorBlock database}
432
+ }
433
+ ```
434
+
435
+ ## Acknowledgments
436
+
437
+ - [SponsorBlock](https://sponsor.ajay.app/) for the video ID database
438
+ - [yt-dlp](https://github.com/yt-dlp/yt-dlp) for metadata extraction
439
+ - YouTube creators whose content is represented in this dataset
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