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README.md
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- name: train
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- name: test
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download_size: 14615747
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dataset_size: 14615747
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---
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## Engine classes
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| Engine class | Files | Windows | Train | Test |
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| `2_rotor` |
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| `h12` | 10 | 4863 |
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| `h2` | 92 | 56012 |
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| `h4` | 112 | 40657 |
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| `h6` | 97 | 84341 |
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| `i2_180` | 127 | 88771 |
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| `i2_180_two_stroke` | 41 | 9162 |
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| `i2_270` | 169 | 134456 |
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| `i2_360` | 63 | 24789 |
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| `i2_360_two_stroke` | 44 | 12124 |
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| `i3` | 133 | 57496 |
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| `v8_cross` | 264 | 139946 | 120989 | 18957 |
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| `v8_diesel` | 124 | 45184 | 35857 | 9327 |
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| `v8_flat` | 180 | 81189 | 68971 | 12218 |
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| `v8_voodoo` | 65 | 34937 | 27993 | 6944 |
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| `vr6` | 54 | 11260 | 6762 | 4498 |
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| `w12` | 19 | 8787 | 7173 | 1614 |
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| `w16` | 6 | 8552 | 8552 | 0 |
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Class sizes are heavily imbalanced (5 to 392 files per class) — account for this when
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sampling/weighting during training.
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## Known limitations
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- **Weak, auto-derived labels.** `contains_target`/`quality_flag` come from an AudioSet-trained
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tagger's thresholded scores, not human review (see [Label semantics](#label-semantics)).
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- **Class imbalance.** File counts per class range from
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- **
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`v2_two_stroke` went from 19 to 11 files, `h12` from 18 to 10, `v10_90` from 19 to 14. The
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class table above already reflects these counts.
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- **Link rot.** Since only YouTube ids are published (see [Why metadata-only](#why-metadata-only)),
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some fraction of source videos will become unavailable over time as creators delete or
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privatize them — unlike a self-hosted audio dataset, this one can shrink on its own.
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**not** extend any rights to the underlying YouTube video content, which remains the property of
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its original creators — this dataset does not redistribute, host, or relicense that audio.
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Commercial users should independently verify their own right to use any audio they fetch via the
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ids in this dataset.
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dtype: string
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splits:
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- name: train
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num_examples: 1511908
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- name: test
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num_examples: 372069
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download_size: 14615747
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dataset_size: 14615747
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---
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## Engine classes
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34 engine classes, 3,877 source videos, after exclusions below:
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| Engine class | Files | Windows | Train | Test |
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| --- | --- | --- | --- | --- |
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| `2_rotor` | 141 | 43121 | 36452 | 6669 |
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| `h12` | 10 | 4863 | 3026 | 1837 |
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| `h2` | 92 | 56012 | 40333 | 15679 |
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| `h4` | 112 | 40657 | 32253 | 8404 |
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| `h6` | 97 | 84341 | 70911 | 13430 |
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| `i2_180` | 127 | 88771 | 73716 | 15055 |
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| `i2_180_two_stroke` | 41 | 9162 | 6487 | 2675 |
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| `i2_270` | 169 | 134456 | 110712 | 23744 |
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| `i2_360` | 63 | 24789 | 18944 | 5845 |
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| `i2_360_two_stroke` | 44 | 12124 | 11617 | 507 |
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| `i3` | 133 | 57496 | 45909 | 11587 |
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| `i4` | 394 | 168553 | 140949 | 27604 |
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| `i4_crossplane` | 134 | 68221 | 54634 | 13587 |
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| `i4_diesel` | 76 | 31606 | 27721 | 3885 |
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| `i5` | 115 | 29789 | 22419 | 7370 |
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| `i5_diesel` | 52 | 21759 | 19513 | 2246 |
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| `i6` | 157 | 49570 | 40540 | 9030 |
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| `i6_diesel` | 52 | 29830 | 11117 | 18713 |
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| `single_four_stroke` | 101 | 42045 | 29771 | 12274 |
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| `single_two_stroke` | 94 | 44185 | 35973 | 8212 |
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| `v10_72` | 156 | 63068 | 51501 | 11567 |
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| `v12` | 112 | 37882 | 26548 | 11334 |
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| `v2_45` | 138 | 165815 | 144387 | 21428 |
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| `v2_90` | 97 | 83045 | 75219 | 7826 |
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| `v4` | 80 | 31392 | 22601 | 8791 |
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| `v4_two_stroke` | 41 | 9750 | 7735 | 2015 |
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| `v6_120` | 72 | 31924 | 24099 | 7825 |
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| `v6_60` | 211 | 60753 | 48324 | 12429 |
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| `v6_90_even` | 76 | 43334 | 36442 | 6892 |
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| `v8_cross` | 265 | 140562 | 111631 | 28931 |
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| `v8_diesel` | 126 | 47716 | 30052 | 17664 |
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| `v8_flat` | 180 | 81189 | 65364 | 15825 |
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| `v8_voodoo` | 65 | 34937 | 24634 | 10303 |
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| `vr6` | 54 | 11260 | 10374 | 886 |
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Class sizes are heavily imbalanced (10 to 394 files per class) — account for this when
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sampling/weighting during training.
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## Known limitations
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- **Weak, auto-derived labels.** `contains_target`/`quality_flag` come from an AudioSet-trained
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tagger's thresholded scores, not human review (see [Label semantics](#label-semantics)).
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- **Class imbalance.** File counts per class range from 10 (`h12`) to 394 (`i4`).
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- **All classes have representation in both train and test sets** (no class has zero test windows
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after conflict exclusions).
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- **Cross-class conflicts.** Cross-referencing every video id against every engine_class it was
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scraped under found videos that had been pulled into **more than one conflicting engine_class**
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(almost certainly multi-engine compilation/comparison videos caught by more than one search
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query). All windows sourced from any of these videos were dropped entirely (99,105 of
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1,983,082 rows, 5.0%) rather than guessing which label was correct. This also resulted in
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9 engine classes being dropped entirely from the export (they had no videos that didn't also
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appear in at least one conflicting class). The class table above reflects the final, post-conflict
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list.
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- **Link rot.** Since only YouTube ids are published (see [Why metadata-only](#why-metadata-only)),
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some fraction of source videos will become unavailable over time as creators delete or
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privatize them — unlike a self-hosted audio dataset, this one can shrink on its own.
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**not** extend any rights to the underlying YouTube video content, which remains the property of
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its original creators — this dataset does not redistribute, host, or relicense that audio.
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Commercial users should independently verify their own right to use any audio they fetch via the
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ids in this dataset.
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