Datasets:
Fabian Retkowski
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Update README, add structured transcript targets
Browse files- README.md +47 -13
- data/partitions/yt_seg.test.json +2 -2
- data/partitions/yt_seg.train.json +2 -2
- data/partitions/yt_seg.val.json +2 -2
README.md
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@@ -40,28 +40,61 @@ We present <span style="font-variant:small-caps; font-weight:700;">YTSeg</span>,
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## Data Overview
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| Partition | # Examples |
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|------------|--------------|
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| Training | 16,404 (85%) |
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| Validation | 1,447 (7.5%) |
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| Testing | 1,448 (7.5%) |
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| Total | 19,
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### <span style="font-variant:small-caps;">YTSeg
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Each chapter of a video is represented as a JSON object with the following fields:
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```
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## Changelog
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- 09.04.2024 -- Added audio data
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- 27.02.2024 -- Initial release
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## Data Overview
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We offer three dataset subsets:
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- **Text** — For text-based segmentation and chaptering approaches using transcripts.
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- **Audio** — For audio-based chaptering approaches with embedded audio.
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- **Titles** — For chapter title generation given segment text (relevant for two-stage approaches).
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### <span style="font-variant:small-caps;">YTSeg</span> (Text)
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Each video is represented as a JSON object. The fields are organized into three categories: **Transcripts**, **Target Representations**, and **Metadata**.
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#### Transcripts
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We provide three transcript variants for each video: the original reference transcript and two ASR-generated transcripts using Whisper models.
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| Field | Description |
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|--------|-------------|
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| `text_ref` | Reference transcript as a flat list of sentences. |
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| `text_wt` | Whisper-tiny ASR transcript as a flat list of sentences. |
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| `text_wl` | Whisper-large ASR transcript as a flat list of sentences. |
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#### Target Representations
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Multiple target formats are provided for different modeling approaches.
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| Field | Description |
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|--------|-------------|
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| `target_binary_ref` | Binary segmentation labels for reference transcript (e.g., `\|=000100000010`). |
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| `target_binary_wt` | Binary segmentation labels for Whisper-tiny transcript. |
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| `target_binary_wl` | Binary segmentation labels for Whisper-large transcript. |
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| `target_text_ref` | Structured transcript with chapter markers (e.g., `[CSTART] Title [CEND] text...`). |
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| `target_text_ts_ref` | Structured transcript with timestamped chapter markers (e.g., `[CSTART] 00:01:23 - Title [CEND] text...`). |
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| `target_ts` | Timestamped chapter markers only (e.g., `[CSTART] 00:01:23 - Title [CEND]\n...`). |
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#### Metadata
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| Field | Description |
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|--------|-------------|
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| `audio_path` | Path to the .mp3 file of the video. |
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| `chapter_titles` | A list of chapter titles corresponding to each segment. |
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| `channel_id` | The YouTube channel ID which this video belongs to. |
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| `video_id` | The YouTube video ID. |
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| `speaker_category` | Speaker classification: `single`, `single_weak`, or `multiple`. |
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| `dominant_speaker_proportion` | Proportion of speech from the dominant speaker (0.0-1.0). |
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| `num_speakers` | Number of detected speakers in the video. |
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| `duration` | Video duration in seconds. |
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#### Partition Statistics
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| Partition | # Examples |
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|------------|--------------|
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| Training | 16,404 (85%) |
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| Validation | 1,447 (7.5%) |
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| Testing | 1,448 (7.5%) |
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| Total | 19,299 |
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### <span style="font-variant:small-caps;">YTSeg</span> (Titles)
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Each chapter of a video is represented as a JSON object with the following fields:
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```
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## Changelog
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- 20.01.2025 -- Major data update: Added ASR transcripts, structured transcript targets with timestamps, and metadata for finer-grained analysis
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- 25.07.2024 -- Added complete list of chapter titles to `YTSeg` (`YTSeg[Titles]` is a filtered subset)
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- 09.04.2024 -- Added audio data
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- 27.02.2024 -- Initial release
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data/partitions/yt_seg.test.json
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data/partitions/yt_seg.train.json
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data/partitions/yt_seg.val.json
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