Dataset
lithology-zeroshot-llm-results
by Nora Research Lab NoraResearchLab/lithology-zeroshot-llm-results
Held-out test wells from NoraResearchLab/Lithology-Training-Dataset. Protocol: depth-binned log summary → JSON interval prediction → sequence metrics. Figures in figures/.
Rows—
Configurations—
Size585.1 KB
License—
AccessPublicly accessible
Monthly Downloads—
Dataset Card
Held-out test wells from NoraResearchLab/Lithology-Training-Dataset. Protocol: depth-binned log summary → JSON interval prediction → sequence metrics. Figures in figures/.
Excerpt from the card by Nora Research Lab.
Details
- Repository
- NoraResearchLab/lithology-zeroshot-llm-results
- Publisher
- Nora Research Lab
- Task category
- Not stated by the source
- Tags
- Not stated by the source
- Size category
- Not stated by the source
- Languages
- Not stated by the source
- Revision
- 3a56303e4c07b56dca9905e43555c3e594590e42
- Last updated
- 2026-10-03
Files
15 files, 585.1 KB in total.
Data9 files · 12.7 KB
Documentation1 file · 2.1 KB
Other4 files · 567.8 KB
Repository1 file · 2.5 KB
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| per_well_DeepSeek-V3.csv | Data | 1.2 KB | — |
| per_well_GPT-OSS-120B.csv | Data | 1.2 KB | — |
| per_well_GPT-OSS-20B.csv | Data | 1.2 KB | — |
| per_well_Gemma2-27B.csv | Data | 1.2 KB | — |
| per_well_Kimi-K2.csv | Data | 1.2 KB | — |
| per_well_Qwen2.5-72B.csv | Data | 1.2 KB | — |
| per_well_Qwen3.8-27B.csv | Data | 1.2 KB | — |
| zero_shot_summary.csv | Data | 1.4 KB | — |
| zero_shot_summary.json | Data | 3.0 KB | — |
| README.md | Documentation | 2.1 KB | — |
| figures/zs_macro_f1_rank.png | Other | 100.4 KB | 88d7428593dc |
| figures/zs_metrics_bars.pdf | Other | 20.3 KB | — |
| figures/zs_metrics_bars.png | Other | 188.3 KB | 0062805d22d8 |
| figures/zs_metrics_heatmap.png | Other | 258.8 KB | e61b87606e81 |
| .gitattributes | Repository | 2.5 KB | — |
License and Download
- License
- Not stated by the source
- Access
- No access gate
Download from Nora Research Lab
Released by Nora Research Lab through its official repository on Hugging Face.