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Datasets:
GSMA
/
leaderboard

Tasks:
Text Classification
Question Answering
Modalities:
Tabular
Text
Formats:
parquet
Languages:
English
Size:
< 1K
Tags:
telecommunications
5g
llm-evaluation
benchmark
leaderboard
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
2
leaderboard

Commit History

20 days ago

  1. Upload dataset

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  2. Upload dataset

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  3. Upload dataset

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  4. Upload dataset

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  1. Add CHT-TeleX-8B (Chunghwa Telecom)

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  1. Remove OTel-2.0-LLM-31B-IT

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  2. Remove H2Loop Telecom Comprehension 1.5

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  3. Upload dataset

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  4. Upload dataset

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  1. Upload dataset

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  2. Upload dataset

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  1. Upload dataset

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  2. Upload dataset

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  1. Upload dataset

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  1. Upload dataset

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  1. Upload dataset

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  1. Upload dataset

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  2. Upload dataset

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  1. Upload dataset

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  1. Upload dataset

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  1. Rename OTel-LLM-8.3B-IT to OTel-LLM-8.3B-QnA (AT&T) in CSV

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  2. Rename OTel-LLM-8.3B-IT to OTel-LLM-8.3B-QnA (AT&T)

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  3. Add OTel-LLM-8.3B-IT to CSV (synced with JSON)

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  4. Add OTel-LLM-8.3B-IT benchmark scores (7 benchmarks, rank #1)

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  1. Update README: 84 models (added LTM by SoftBank)

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  2. Fix LTM provider: GSMA → SoftBank

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  3. Fix LTM provider: GSMA → SoftBank

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  4. Add LTM (GSMA) model — 84 models, 7 benchmarks

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  5. Add LTM (GSMA) model — 84 models, 7 benchmarks

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  1. Update README.md with 83 models from MWC leaderboard

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  2. Update leaderboard_scores.csv with 83 models from MWC leaderboard

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  3. Update leaderboard_scores.json with 83 models from MWC leaderboard

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  4. Update leaderboard_scores.csv with 98 models from MWC leaderboard

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  5. Update leaderboard_scores.json with 98 models from MWC leaderboard

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  1. Update leaderboard_scores.csv with 98 models from MWC leaderboard

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  2. Update leaderboard_scores.json with 98 models from MWC leaderboard

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  3. Update leaderboard_scores.csv with 98 models from MWC leaderboard

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  4. Update leaderboard_scores.json with 98 models from MWC leaderboard

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    b4c14d7

  1. Update README.md with 98 models from MWC leaderboard

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  2. Update leaderboard_scores.csv with 98 models from MWC leaderboard

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  3. Update leaderboard_scores.json with 98 models from MWC leaderboard

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    8d272cb

  4. Update README.md with 98 models from MWC leaderboard

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  5. Update leaderboard_scores.csv with 98 models from MWC leaderboard

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  6. Update leaderboard_scores.json with 98 models from MWC leaderboard

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  1. Add gemma3-27b to leaderboard (31 models)⁠

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  2. Update README.md with score-only leaderboard data

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  3. Update leaderboard_scores.csv with score-only leaderboard data

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  4. Update leaderboard_scores.json with score-only leaderboard data

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  5. Remove non-score artifact: qwen2.5-coder-7b/energy_results.json

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  6. Remove non-score artifact: qwen2.5-7b/energy_results.json

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