|
Download README.md from Compactbot/slm-arch-scores: direct link, hf CLI and curl.
- Browser
- Download file 888 Bytes
-
https://huggingface.co/datasets/Compactbot/slm-arch-scores/resolve/main/README.md
- Command line
-
hf download hf://datasets/Compactbot/slm-arch-scores/README.md
-
curl -L -o README.md https://huggingface.co/datasets/Compactbot/slm-arch-scores/resolve/main/README.md
888 Bytes
| license: mit | |
| language: | |
| - en | |
| tags: | |
| - slm | |
| - architecture | |
| - benchmark | |
| - evaluation | |
| pretty_name: SLM Architecture Benchmark Scores | |
| size_categories: | |
| - n<1K | |
| # SLM Architecture Benchmark Scores | |
| A standardized, controlled panel of benchmark scores across small language models trained from scratch under controlled or comparable regimes. | |
| ## Summary | |
| This dataset aggregates multi-task benchmark evaluations (ARC-Easy, BLiMP, WikiText-2, etc.) for sub-100M parameter models trained from scratch, isolating architectural differences (standard decoder-only, prefix-LM, looped/weight-tied, etc.) where experimental protocols permit. | |
| Note: Consolidates and supersedes the experimental dataset name Compactbot/slm-architecture-benchmark-map. | |
| ## Files | |
| - scores.csv: Tabular benchmark results and architectural metadata. | |
| - scores.jsonl: JSON lines format with per-model evaluation records. | |