Update README.md with score-only leaderboard data

README.md

@@ -1,107 +1,66 @@
 ---
 license: apache-2.0
+pretty_name: Open Telco Leaderboard Scores
+language:
+- en
 task_categories:
 - text-classification
 - question-answering
-language:
-- en
 tags:
 - telecommunications
-- 5G
-- LLM-evaluation
+- 5g
+- llm-evaluation
 - benchmark
 - leaderboard
-pretty_name: Open Telco Leaderboard
-size_categories:
-- n<1K
-dataset_info:
-  features:
-  - name: model
-    dtype: large_string
-  - name: teleqna
-    list: float64
-  - name: telelogs
-    list: float64
-  - name: telemath
-    list: float64
-  - name: 3gpp_tsg
-    list: float64
-  - name: date
-    dtype: large_string
-  - name: tci_legacy
-    list: float64
-  - name: teletables
-    list: float64
-  - name: avg_score
-    list: float64
-  splits:
-  - name: train
-    num_bytes: 2328
-    num_examples: 11
-  download_size: 6772
-  dataset_size: 2328
 configs:
 - config_name: default
   data_files:
   - split: train
-    path: data/train-*
+    path: leaderboard_scores.csv
 ---
 
-# Open Telco Leaderboard Dataset
+# Open Telco Leaderboard Scores
 
-Benchmark scores for LLMs evaluated on telecommunications-specific tasks.
+Leaderboard scores extracted from Inspect evaluation logs for 30 models.
 
-## Schema
+This dataset currently publishes **scores only** (no energy metrics).
 
-| Column | Type | Description |
-|--------|------|-------------|
-| `model` | string | Model name with provider |
-| `teleqna` | list | [score, stderr, n_samples] |
-| `telelogs` | list | [score, stderr, n_samples] |
-| `telemath` | list | [score, stderr, n_samples] |
-| `3gpp_tsg` | list | [score, stderr, n_samples] |
-| `date` | string | Evaluation date |
+## Files
 
-Each benchmark column contains a list: `[score (0-100), standard_error, number_of_samples]`
+- `leaderboard_scores.csv`: Flat table for the dataset viewer.
+- `leaderboard_scores.json`: Structured JSON with per-model benchmark scores, stderr, sample counts, and source eval file paths.
 
-## Benchmarks
-
-| Benchmark | Description |
-|-----------|-------------|
-| **TeleQnA** | Q&A pairs testing telecom knowledge |
-| **TeleMath** | Mathematical reasoning in telecommunications |
-| **TeleLogs** | Root cause analysis for 5G network issues |
-| **3GPP-TSG** | Classification of 3GPP technical documents |
-
-## Usage
+## Schema (`leaderboard_scores.csv`)
 
-```python
-from datasets import load_dataset
+Core columns:
 
-ds = load_dataset("GSMA/leaderboard")
-df = ds["train"].to_pandas()
+- `model`
+- `rank`
+- `average`
+- `benchmarks_completed`
 
-# Extract scores from lists
-for bench in ['teleqna', 'telelogs', 'telemath', '3gpp_tsg']:
-    df[f'{bench}_score'] = df[bench].apply(lambda x: x[0])
-    df[f'{bench}_stderr'] = df[bench].apply(lambda x: x[1])
-    df[f'{bench}_n'] = df[bench].apply(lambda x: x[2])
+Per-benchmark columns (for each benchmark):
 
-# Calculate mean and rank
-score_cols = ['teleqna_score', 'telelogs_score', 'telemath_score', '3gpp_tsg_score']
-df['mean'] = df[score_cols].mean(axis=1)
-df['rank'] = df['mean'].rank(ascending=False).astype(int)
+- `<benchmark>_score`
+- `<benchmark>_stderr`
+- `<benchmark>_n`
 
-print(df[['model', 'mean', 'rank']].sort_values('rank'))
-```
+Benchmarks:
 
-## Related Datasets
+- `teleqna`
+- `teletables`
+- `oranbench`
+- `srsranbench`
+- `telemath`
+- `telelogs`
+- `three_gpp`
 
-- [TeleQnA](https://huggingface.co/datasets/netop/TeleQnA)
-- [TeleMath](https://huggingface.co/datasets/netop/TeleMath)
-- [TeleLogs](https://huggingface.co/datasets/netop/TeleLogs)
+## Usage
 
-## Links
+```python
+from datasets import load_dataset
 
-- [Open Telco Website](https://gsma-research.github.io/open_telco/)
-- [GitHub](https://github.com/gsma-research/open_telco)
+ds = load_dataset("GSMA/leaderboard", split="train")
+print(ds.column_names)
+print(ds[0])
+```