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Update README.md with 98 models from MWC leaderboard

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@@ -21,39 +21,39 @@ configs:
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  # Open Telco Leaderboard Scores
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- Leaderboard scores extracted from Inspect evaluation logs for 31 models.
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- This dataset currently publishes **scores only** (no energy metrics).
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  ## Files
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  - `leaderboard_scores.csv`: Flat table for the dataset viewer.
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- - `leaderboard_scores.json`: Structured JSON with per-model benchmark scores, stderr, sample counts, and source eval file paths.
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  ## Schema (`leaderboard_scores.csv`)
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  Core columns:
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- - `model`
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- - `rank`
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- - `average`
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- - `benchmarks_completed`
 
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  Per-benchmark columns (for each benchmark):
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- - `<benchmark>_score`
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- - `<benchmark>_stderr`
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- - `<benchmark>_n`
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  Benchmarks:
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- - `teleqna`
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- - `teletables`
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- - `oranbench`
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- - `srsranbench`
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- - `telemath`
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- - `telelogs`
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- - `three_gpp`
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  ## Usage
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  # Open Telco Leaderboard Scores
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+ Benchmark scores for **98 models** across 7 telecom-domain benchmarks, sourced from the MWC leaderboard.
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+ This dataset publishes **scores only** (no energy metrics).
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  ## Files
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  - `leaderboard_scores.csv`: Flat table for the dataset viewer.
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+ - `leaderboard_scores.json`: Structured JSON with per-model benchmark scores and standard errors.
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  ## Schema (`leaderboard_scores.csv`)
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  Core columns:
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+ - `model` — Model name
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+ - `provider` — Model provider (e.g. OpenAI, Google, Meta)
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+ - `rank` — Rank by average score (descending)
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+ - `average` — Mean of available benchmark scores
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+ - `benchmarks_completed` — Number of benchmarks with scores
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  Per-benchmark columns (for each benchmark):
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+ - `<benchmark>_score` — Accuracy score (0-1 scale)
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+ - `<benchmark>_stderr` — Standard error
 
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  Benchmarks:
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+ - `teleqna` — Telecom Q&A (multiple choice)
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+ - `teletables` — Table understanding
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+ - `oranbench` — O-RAN knowledge
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+ - `srsranbench` — srsRAN knowledge
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+ - `telemath` — Telecom math problems
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+ - `telelogs` — Telecom log analysis
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+ - `three_gpp` — 3GPP specification knowledge
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  ## Usage
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