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Prevent audit artifacts from breaking dataset viewer config
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---
license: other
task_categories:
- text-generation
tags:
- g2p
- pronunciation
- names
- evaluation
configs:
- config_name: default
data_files:
- split: eval
path: data/eval-00000-of-00001.parquet
---
# NetJets surname phonetic G2P evaluation
Source: `Namecoach/netjets-name-asr`, Hub revision `dd9ca45ff76c1cf5017d03bbd3558f625420928f`, train split.
This benchmark presents a written surname grapheme and expects one of the observed custom written phonetic spellings for that surname. The phonetic strings are retained exactly after outer whitespace trimming; capitalization encodes stress and hyphens/parentheses are meaningful notation.
## Files
- `data/eval-00000-of-00001.parquet`: viewer-backed eval table with `grapheme` and `phonetic` as the first two columns.
- `rows.jsonl`: one row per retained source occurrence. Do not deduplicate this file: its repeated rows preserve the source pronunciation frequency.
- `metadata/groups.jsonl.txt`: one row per grapheme with its observed variant counts and probabilities. Use this for distributional evaluation and allowed-output validation.
- `metadata/excluded.jsonl.txt`: source rows that could not be mapped to one auditable grapheme token, with the reason and candidate scores.
- `manifest.json`: source hash, counts, extraction policy, and frequency policy.
## Row contract
Each row contains `grapheme`, `phonetic`, a stable source `id`, source provenance, and alignment metadata. A prediction is valid only if it exactly equals one of the `phonetic` variants listed for that row's `grapheme_key` in `metadata/groups.jsonl.txt`.
## Alignment policy
The dataset's `name` field is an ASR/spoken reconstruction and can contain extra or missing tokens, so the final whitespace token is not always the labeled surname. The builder uses a documented token-to-phonetic character-similarity heuristic with a surname prior, removes common suffixes such as Jr/III, and excludes ambiguous or unalignable rows instead of fabricating grapheme labels.
## Counts
- Source rows: 36,704
- Retained eval occurrences: 35,891
- Unique graphemes: 15,938
- Unique grapheme/phonetic pairs: 27,644
- Excluded rows: 813