Fix small inconsistencies

#2
by diarray - opened
Files changed (1) hide show
  1. README.md +7 -7
README.md CHANGED
@@ -58,8 +58,8 @@ This benchmark accompanies the paper **"Where Are We at with Automatic Speech Re
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  | **Domain** | Malian Constitution (legal/institutional text) |
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  | **Duration** | 1.075 hours (64.5 minutes) |
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- | **Segments** | 518 (501 main + 17 National Anthem) |
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- | **Speaker(s)** | 1 adult male (main), 1 female (anthem) |
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  | **Segment length** | 0.65–46.12s (mean: 7.47s, 97% under 20s) |
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  | **Vocabulary** | 1,198 unique words |
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  | **Recording** | Single-channel, studio conditions |
@@ -77,14 +77,14 @@ Because the acoustic conditions are near-optimal (studio recording, clean audio,
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  ### Vocabulary Isolation
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- The vocabulary in this dataset has very low overlap with existing Bambara ASR training corpora:
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- | Training corpus | Shared words | Unique to this benchmark |
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- | `RobotsMali/bam-asr-early` (1,622 words) | 297 | ~75% |
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- | `RobotsMali/kunkado` | 319 | ~73% |
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- Words like *yuruguyuruguli* (disorder/embezzlement) and *yamaruyasariya* (ordinance/regulation) are central to the constitutional register but virtually absent from conversational Bambara.
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  ## Leaderboard
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  Full results and adjustable metric weights at the [public leaderboard](https://huggingface.co/spaces/MALIBA-AI/bambara-asr-leaderboard).
 
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  | **Domain** | Malian Constitution (legal/institutional text) |
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  | **Duration** | 1.075 hours (64.5 minutes) |
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+ | **Segments** | 500 |
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+ | **Speaker(s)** | 1 adult male |
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  | **Segment length** | 0.65–46.12s (mean: 7.47s, 97% under 20s) |
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  | **Vocabulary** | 1,198 unique words |
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  | **Recording** | Single-channel, studio conditions |
 
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  ### Vocabulary Isolation
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+ The vocabulary in this dataset has very low overlap with existing Bambara ASR training corpora. To verify that, we have drawn two one-hour subsets from the two publicly available ASR dataset (at the time of compiling this report) by randomly selecting utterances and we observed the following word overlap figures:
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+ | Training corpus | Shared words | Overlap with this benchmark |
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+ | `RobotsMali/bam-asr-early` | 297 | ~25% |
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+ | `RobotsMali/kunkado` | 319 | ~27% |
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+ So this benchmark features about 75% unique words when compared with equal sized samples of these two datasets, confirming how narrow the domain is. Words like *yuruguyuruguli* (disorder/embezzlement) and *yamaruyasariya* (ordinance/regulation) are central to the constitutional register but virtually absent from conversational Bambara.
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  ## Leaderboard
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  Full results and adjustable metric weights at the [public leaderboard](https://huggingface.co/spaces/MALIBA-AI/bambara-asr-leaderboard).