GSMA/leaderboard

Open Telco Leaderboard Scores

Benchmark scores for 84 models across 7 telecom-domain benchmarks, sourced from the MWC leaderboard.

This dataset publishes scores only (no energy metrics).

Files

• —leaderboard_scores.csv: Flat table for the dataset viewer.
• —leaderboard_scores.json: Structured JSON with per-model benchmark scores and standard errors.

Schema (leaderboard_scores.csv)

Core columns:

• —model — Model name
• —provider — Model provider (e.g. OpenAI, Google, Meta)
• —rank — Rank by average score (descending)
• —average — Mean of available benchmark scores
• —benchmarks_completed — Number of benchmarks with scores

One column per benchmark — each cell contains [score, stderr] as a JSON tuple, or empty if not evaluated:

Benchmarks:

• —teleqna — Telecom Q&A (multiple choice)
• —teletables — Table understanding
• —oranbench — O-RAN knowledge
• —srsranbench — srsRAN knowledge
• —telemath — Telecom math problems
• —telelogs — Telecom log analysis
• —three_gpp — 3GPP specification knowledge

Usage

from datasets import load_dataset

ds = load_dataset("GSMA/leaderboard", split="train")
print(ds.column_names)
print(ds[0])