Datasets:
Release v1.1: span labels, cohort column, accented and short-turn English rows
Browse filesAdds a `label` to every silence span and a `cohort` column to every row. Adds 800 `accented` and 1,088 `short_turns` English rows as a second English shard. Rows from the first release are otherwise unchanged.
- README.md +28 -7
- data/ar/validation-00000-of-00001.parquet +2 -2
- data/de/validation-00000-of-00001.parquet +2 -2
- data/en/{validation-00000-of-00001.parquet → validation-00000-of-00002.parquet} +2 -2
- data/en/validation-00001-of-00002.parquet +3 -0
- data/es/validation-00000-of-00001.parquet +2 -2
- data/fr/validation-00000-of-00001.parquet +2 -2
- data/hi/validation-00000-of-00001.parquet +2 -2
- data/id/validation-00000-of-00001.parquet +2 -2
- data/it/validation-00000-of-00001.parquet +2 -2
- data/ja/validation-00000-of-00001.parquet +2 -2
- data/ko/validation-00000-of-00001.parquet +2 -2
- data/nl/validation-00000-of-00001.parquet +2 -2
- data/pt/validation-00000-of-00001.parquet +2 -2
- data/tr/validation-00000-of-00001.parquet +2 -2
- data/zh/validation-00000-of-00001.parquet +2 -2
README.md
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All configs use the same schema. English rows include `language = "en"`.
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## Schema
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- `id`: globally unique turn id.
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- `audio`: 16 kHz mono WAV audio.
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- `language`: normalized language code.
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- `duration`: audio duration in seconds.
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- `silence_spans`: candidate silence spans with `start` and `
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- `words`: word-level transcript timings.
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- `messages`: prior conversation messages.
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Rows with any silence span longer than 5.0s are also excluded so the benchmark
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focuses on ordinary endpointing pauses.
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## Languages
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| Language | Rows |
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| --- | ---: |
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| `en` |
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| `ar` | 381 |
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| `de` | 400 |
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| `es` | 400 |
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| `pt` | 400 |
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| `tr` | 400 |
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| `zh` | 344 |
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| `all` |
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All configs use the same schema. English rows include `language = "en"`.
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## Version 1.1
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Version 1.1 adds 1,888 English rows in two cohorts and two schema fields.
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- `accented`: 800 turns of accented English speech.
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- `short_turns`: 1,088 short replies. 544 rows end at the end of the turn. The
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other 544 rows stop at a mid-turn pause, so they have no end-of-turn span.
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Each silence span now has a `label`, and each row has a `cohort`. The rows from
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the first release are unchanged apart from these two fields. Their cohort is
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`general`.
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## Schema
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- `id`: globally unique turn id.
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- `audio`: 16 kHz mono WAV audio.
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- `language`: normalized language code.
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- `duration`: audio duration in seconds.
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- `silence_spans`: candidate silence spans with `start`, `end`, and `label`.
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The label is `eot` for the true end of the turn and `hold` for a mid-turn
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pause. A row has at most one `eot` span, and it is always the last span. A
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`short_turns` row can end in a `hold` span.
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- `words`: word-level transcript timings.
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- `messages`: prior conversation messages. Rows in the `accented` and
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`short_turns` cohorts contain only the preceding assistant message.
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- `cohort`: `general`, `accented`, or `short_turns`.
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In the `general` cohort, rows whose final end-of-turn silence span is shorter
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than 0.2s are excluded, so every turn can be evaluated at a 0.2s score point.
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Rows with any silence span longer than 5.0s are also excluded so the benchmark
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focuses on ordinary endpointing pauses. The `accented` cohort keeps longer
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mid-turn pauses; the benchmark harness ignores `hold` spans longer than 5.0s.
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## Languages
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The `en` count is 400 `general` rows, 800 `accented` rows, and 1,088
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`short_turns` rows.
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| Language | Rows |
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| --- | ---: |
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| `en` | 2288 |
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| `ar` | 381 |
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| `de` | 400 |
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| `es` | 400 |
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| `pt` | 400 |
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| `tr` | 400 |
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| `zh` | 344 |
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| `all` | 7342 |
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