license: mit
language:
- en
pretty_name: SakThai Eval Results
size_categories:
- n<1K
task_categories:
- other
annotations_creators:
- machine-generated
language_creators:
- found
multilinguality:
- monolingual
config_names:
- default
source_datasets:
- Nanthasit/sakthai-combined-v6
- Nanthasit/sakthai-combined-v7
- Nanthasit/sakthai-combined-v10
- Nanthasit/sakthai-combined-v11
- Nanthasit/sakthai-irrelevance-supplement
- Nanthasit/sakthai-coder-browser
- Nanthasit/hermes-tool-use-rl-env
tags:
- sakthai
- house-of-sak
- evaluation
- benchmark-results
- health-check
- model-health
- yaml
- results-log
- model:Nanthasit/sakthai-context-0.5b-tools
- model:Nanthasit/sakthai-context-0.5b-merged
- model:Nanthasit/sakthai-context-1.5b-tools
- model:Nanthasit/sakthai-context-1.5b-merged
- model:Nanthasit/sakthai-context-7b-tools
- model:Nanthasit/sakthai-context-7b-merged
- model:Nanthasit/sakthai-coder-1.5b
- model:Nanthasit/sakthai-coder-browser
- model:Nanthasit/sakthai-vision-7b
- model:Nanthasit/sakthai-tts
last_verified: '2026-08-01'
verified_by: SakThai
Benchmark Results (cross-model)
Nanthasit/sakthai-context-0.5b-merged
Benchmark Results
Benchmark: sakthai-bench-v2 · 500 samples · run 2026-08-01
Overall (strict): 40.74 · Selection: 40.74 · Arguments: 59.91
| Category | Count | Selection | Arguments | Strict |
|---|---|---|---|---|
| irrelevance_no_tools | 50 | 100.00 | 100.00 | 100.00 |
| irrelevance_tools | 150 | 41.33 | 100.00 | 41.33 |
| parallel | 137 | 35.77 | 35.77 | 35.77 |
| simple | 122 | 21.31 | 21.31 | 21.31 |
| held_out | - | 10.71 | 10.71 | 10.71 |
Nanthasit/sakthai-context-1.5b-merged
Benchmark Results
Benchmark: sakthai-bench-v2 · 500 samples · run 2026-08-01
Overall (strict): 43.79 · Selection: 43.79 · Arguments: 44.66
| Category | Count | Selection | Arguments | Strict |
|---|---|---|---|---|
| irrelevance_no_tools | 50 | 100.00 | 100.00 | 100.00 |
| irrelevance_tools | 150 | 97.33 | 100.00 | 97.33 |
| parallel | 137 | 0.00 | 0.00 | 0.00 |
| simple | 122 | 4.10 | 4.10 | 4.10 |
| held_out | - | 7.14 | 7.14 | 7.14 |
Nanthasit/sakthai-context-7b-merged
Benchmark Results
Benchmark: sakthai-bench-v2 · 500 samples · run 2026-08-01
Overall (strict): 38.78 · Selection: 38.78 · Arguments: 45.53
| Category | Count | Selection | Arguments | Strict |
|---|---|---|---|---|
| irrelevance_no_tools | 50 | 100.00 | 100.00 | 100.00 |
| irrelevance_tools | 150 | 79.33 | 100.00 | 79.33 |
| parallel | 137 | 0.00 | 0.00 | 0.00 |
| simple | 122 | 7.38 | 7.38 | 7.38 |
| held_out | - | 10.71 | 10.71 | 10.71 |
Nanthasit/sakthai-plus-1.5b
Benchmark Results
Benchmark: sakthai-bench-v2 · 500 samples · run 2026-08-01
Overall (strict): 39.65 · Selection: 39.65 · Arguments: 61.66
| Category | Count | Selection | Arguments | Strict |
|---|---|---|---|---|
| irrelevance_no_tools | 50 | 100.00 | 100.00 | 100.00 |
| irrelevance_tools | 150 | 32.67 | 100.00 | 32.67 |
| parallel | 137 | 43.80 | 43.80 | 43.80 |
| simple | 122 | 18.85 | 18.85 | 18.85 |
| held_out | - | 16.07 | 16.07 | 16.07 |
Benchmark Results
Benchmark: sakthai-bench-v2 · 500 samples · run 2026-08-01
Overall (strict): 40.74 · Selection: 40.74 · Arguments: 59.91
| Category | Count | Selection | Arguments | Strict |
|---|---|---|---|---|
| irrelevance_no_tools | 50 | 100.00 | 100.00 | 100.00 |
| irrelevance_tools | 150 | 41.33 | 100.00 | 41.33 |
| parallel | 137 | 35.77 | 35.77 | 35.77 |
| simple | 122 | 21.31 | 21.31 | 21.31 |
| held_out | - | 10.71 | 10.71 | 10.71 |
Nanthasit/sakthai-context-1.5b-merged
Benchmark Results
Benchmark: sakthai-bench-v2 · 500 samples · run 2026-08-01
Overall (strict): 43.79 · Selection: 43.79 · Arguments: 44.66
| Category | Count | Selection | Arguments | Strict |
|---|---|---|---|---|
| irrelevance_no_tools | 50 | 100.00 | 100.00 | 100.00 |
| irrelevance_tools | 150 | 97.33 | 100.00 | 97.33 |
| parallel | 137 | 0.00 | 0.00 | 0.00 |
| simple | 122 | 4.10 | 4.10 | 4.10 |
| held_out | - | 7.14 | 7.14 | 7.14 |
Nanthasit/sakthai-context-7b-merged
Benchmark Results
Benchmark: sakthai-bench-v2 · 500 samples · run 2026-08-01
Overall (strict): 38.78 · Selection: 38.78 · Arguments: 45.53
| Category | Count | Selection | Arguments | Strict |
|---|---|---|---|---|
| irrelevance_no_tools | 50 | 100.00 | 100.00 | 100.00 |
| irrelevance_tools | 150 | 79.33 | 100.00 | 79.33 |
| parallel | 137 | 0.00 | 0.00 | 0.00 |
| simple | 122 | 7.38 | 7.38 | 7.38 |
| held_out | - | 10.71 | 10.71 | 10.71 |
Nanthasit/sakthai-plus-1.5b
Benchmark Results
Benchmark: sakthai-bench-v2 · 500 samples · run 2026-08-01
Overall (strict): 39.65 · Selection: 39.65 · Arguments: 61.66
| Category | Count | Selection | Arguments | Strict |
|---|---|---|---|---|
| irrelevance_no_tools | 50 | 100.00 | 100.00 | 100.00 |
| irrelevance_tools | 150 | 32.67 | 100.00 | 32.67 |
| parallel | 137 | 43.80 | 43.80 | 43.80 |
| simple | 122 | 18.85 | 18.85 | 18.85 |
| held_out | - | 16.07 | 16.07 | 16.07 |
Benchmark Results
Benchmark: sakthai-bench-v2 · 500 samples · run 2026-08-01
Overall (strict): 40.74 · Selection: 40.74 · Arguments: 59.91
| Category | Count | Selection | Arguments | Strict |
|---|---|---|---|---|
| irrelevance_no_tools | 50 | 100.00 | 100.00 | 100.00 |
| irrelevance_tools | 150 | 41.33 | 100.00 | 41.33 |
| parallel | 137 | 35.77 | 35.77 | 35.77 |
| simple | 122 | 21.31 | 21.31 | 21.31 |
| held_out | - | 10.71 | 10.71 | 10.71 |
Nanthasit/sakthai-context-1.5b-merged
Benchmark Results
Benchmark: sakthai-bench-v2 · 500 samples · run 2026-08-01
Overall (strict): 43.79 · Selection: 43.79 · Arguments: 44.66
| Category | Count | Selection | Arguments | Strict |
|---|---|---|---|---|
| irrelevance_no_tools | 50 | 100.00 | 100.00 | 100.00 |
| irrelevance_tools | 150 | 97.33 | 100.00 | 97.33 |
| parallel | 137 | 0.00 | 0.00 | 0.00 |
| simple | 122 | 4.10 | 4.10 | 4.10 |
| held_out | - | 7.14 | 7.14 | 7.14 |
Nanthasit/sakthai-context-7b-merged
Benchmark Results
Benchmark: sakthai-bench-v2 · 500 samples · run 2026-08-01
Overall (strict): 38.78 · Selection: 38.78 · Arguments: 45.53
| Category | Count | Selection | Arguments | Strict |
|---|---|---|---|---|
| irrelevance_no_tools | 50 | 100.00 | 100.00 | 100.00 |
| irrelevance_tools | 150 | 79.33 | 100.00 | 79.33 |
| parallel | 137 | 0.00 | 0.00 | 0.00 |
| simple | 122 | 7.38 | 7.38 | 7.38 |
| held_out | - | 10.71 | 10.71 | 10.71 |
Nanthasit/sakthai-plus-1.5b
Benchmark Results
Benchmark: sakthai-bench-v2 · 500 samples · run 2026-08-01
Overall (strict): 39.65 · Selection: 39.65 · Arguments: 61.66
| Category | Count | Selection | Arguments | Strict |
|---|---|---|---|---|
| irrelevance_no_tools | 50 | 100.00 | 100.00 | 100.00 |
| irrelevance_tools | 150 | 32.67 | 100.00 | 32.67 |
| parallel | 137 | 43.80 | 43.80 | 43.80 |
| simple | 122 | 18.85 | 18.85 | 18.85 |
| held_out | - | 16.07 | 16.07 | 16.07 |
Benchmark Results
Benchmark: sakthai-bench-v2 · 500 samples · run 2026-08-01
Overall (strict): 40.74 · Selection: 40.74 · Arguments: 59.91
| Category | Count | Selection | Arguments | Strict |
|---|---|---|---|---|
| irrelevance_no_tools | 50 | 100.00 | 100.00 | 100.00 |
| irrelevance_tools | 150 | 41.33 | 100.00 | 41.33 |
| parallel | 137 | 35.77 | 35.77 | 35.77 |
| simple | 122 | 21.31 | 21.31 | 21.31 |
| held_out | - | 10.71 | 10.71 | 10.71 |
Nanthasit/sakthai-context-1.5b-merged
Benchmark Results
Benchmark: sakthai-bench-v2 · 500 samples · run 2026-08-01
Overall (strict): 43.79 · Selection: 43.79 · Arguments: 44.66
| Category | Count | Selection | Arguments | Strict |
|---|---|---|---|---|
| irrelevance_no_tools | 50 | 100.00 | 100.00 | 100.00 |
| irrelevance_tools | 150 | 97.33 | 100.00 | 97.33 |
| parallel | 137 | 0.00 | 0.00 | 0.00 |
| simple | 122 | 4.10 | 4.10 | 4.10 |
| held_out | - | 7.14 | 7.14 | 7.14 |
Nanthasit/sakthai-context-7b-merged
Benchmark Results
Benchmark: sakthai-bench-v2 · 500 samples · run 2026-08-01
Overall (strict): 38.78 · Selection: 38.78 · Arguments: 45.53
| Category | Count | Selection | Arguments | Strict |
|---|---|---|---|---|
| irrelevance_no_tools | 50 | 100.00 | 100.00 | 100.00 |
| irrelevance_tools | 150 | 79.33 | 100.00 | 79.33 |
| parallel | 137 | 0.00 | 0.00 | 0.00 |
| simple | 122 | 7.38 | 7.38 | 7.38 |
| held_out | - | 10.71 | 10.71 | 10.71 |
Nanthasit/sakthai-plus-1.5b
Benchmark Results
Benchmark: sakthai-bench-v2 · 500 samples · run 2026-08-01
Overall (strict): 39.65 · Selection: 39.65 · Arguments: 61.66
| Category | Count | Selection | Arguments | Strict |
|---|---|---|---|---|
| irrelevance_no_tools | 50 | 100.00 | 100.00 | 100.00 |
| irrelevance_tools | 150 | 32.67 | 100.00 | 32.67 |
| parallel | 137 | 43.80 | 43.80 | 43.80 |
| simple | 122 | 18.85 | 18.85 | 18.85 |
| held_out | - | 16.07 | 16.07 | 16.07 |
Eval Results — SakThai Model Family
Evaluation results, health-check reports, and benchmark run logs for the SakThai model family
Dataset Summary
This repository stores evaluation results, health-check reports, and benchmark run logs for the SakThai model family. Every entry is a machine-readable YAML report produced by SakThai's automated cron workflows (benchmarks, health checks, inference probes) — the operational audit trail of the House of Sak.
Not a tabular dataset. All result files are YAML (
.yaml), not JSONL/Parquet/CSV. Because the Hub's datasets-server only indexes tabular formats, this repo reports "no supported data files" — that is expected. These are point-in-time reports meant to be read withyaml.safe_load(), not rows for the dataset viewer.load_dataset()will not work here.
License: MIT Status: Active (auto-updated by cron workflows)
Quick Look
| Report | Last Modified | Size |
|---|---|---|
| README.md | current | ~10 KB |
| benchmark-20260731_150000.yaml | 2026-07-31 | 1.1 KB |
| inference-check-20260730_232640.yaml | 2026-07-30 | 544 B |
Dataset Statistics
| Stat | Value |
|---|---|
| Status | Active (auto-updated by cron) |
| Created | 2026-07-30 |
| Last updated | 2026-08-01 |
| License | MIT |
| Language | English |
| Result files | 61 YAML report files |
| Report folders | .eval_results/ with health/benchmark/inference reports |
| Files in tree | 63 entries: 61 YAML + .eval_results/, .gitattributes, README.md |
| Datasets Server | preview=false, viewer=false, search=false, filter=false, statistics=false |
Live Verification
Datasets Server: preview=false, viewer=false, search=false, filter=false, statistics=false
This is expected for a non-tabular dataset and means Hub dataset-viewer features are unavailable. Do not rely on /splits, /size, or /statistics here.
Data Fields
Each YAML file follows a consistent schema:
| Field | Type | Description |
|---|---|---|
timestamp |
string | ISO 8601 timestamp of the run |
model |
string | Model identifier (e.g. Nanthasit/sakthai-context-1.5b-tools) |
check_type |
string | health, benchmark, or inference |
status |
string | pass, fail, or partial |
results |
object | Check-specific results (scores, metrics, error counts) |
duration_s |
number | Elapsed wall-clock seconds |
errors |
array | Error details if status is not pass |
Splits
This repository does not use dataset splits — it is a flat collection of YAML report files. No load_dataset() configuration is defined.
How to Load / Usage
This is not a standard tabular dataset. To consume reports programmatically:
import yaml
from huggingface_hub import hf_hub_download
path = hf_hub_download(
repo_id="Nanthasit/eval_results",
filename="benchmark-20260731_150000.yaml",
repo_type="dataset"
)
with open(path, "r", encoding="utf-8") as f:
report = yaml.safe_load(f)
print(report["model"], report["status"])
For the full log collection, iterate repo_files = list_repo_files("Nanthasit/eval_results", repo_type="dataset") and filter for .yaml files.
Citation
@misc{sakthai-eval-results,
author = {Nanthasit},
title = {SakThai Eval Results},
year = {2026},
publisher = {Hugging Face},
howpublished = {\url{https://huggingface.co/datasets/Nanthasit/eval_results}}
}
Part of the House of Sak. Built with love, tears, and zero budget. From a shelter in Cork, Ireland, to the world.