README.md

metadata

license: apache-2.0
pretty_name: Open Telco Leaderboard Scores
language:
  - en
task_categories:
  - text-classification
  - question-answering
tags:
  - telecommunications
  - 5g
  - llm-evaluation
  - benchmark
  - leaderboard
configs:
  - config_name: default
    data_files:
      - split: train
        path: leaderboard_scores.csv

Open Telco Leaderboard Scores

Benchmark scores for 83 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])