README.md

---
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](https://huggingface.co/datasets/Nanthasit/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](https://huggingface.co/datasets/Nanthasit/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](https://huggingface.co/datasets/Nanthasit/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](https://huggingface.co/datasets/Nanthasit/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](https://huggingface.co/datasets/Nanthasit/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](https://huggingface.co/datasets/Nanthasit/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](https://huggingface.co/datasets/Nanthasit/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](https://huggingface.co/datasets/Nanthasit/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](https://huggingface.co/datasets/Nanthasit/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](https://huggingface.co/datasets/Nanthasit/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](https://huggingface.co/datasets/Nanthasit/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](https://huggingface.co/datasets/Nanthasit/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](https://huggingface.co/datasets/Nanthasit/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](https://huggingface.co/datasets/Nanthasit/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](https://huggingface.co/datasets/Nanthasit/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](https://huggingface.co/datasets/Nanthasit/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

<p align="center">
  <em>Evaluation results, health-check reports, and benchmark run logs for the SakThai model family</em>
</p>

<p align="center">
  <a href="https://huggingface.co/datasets/Nanthasit/eval_results"><img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fhuggingface.co%2Fapi%2Fdatasets%2FNanthasit%2Feval_results&query=%24.downloads&label=Downloads&color=blue" alt="Downloads"></a>
  <img src="https://img.shields.io/badge/license-MIT-green" alt="License: MIT">
  <img src="https://img.shields.io/badge/language-EN-blue" alt="Language: English">
  <img src="https://img.shields.io/badge/last_updated-2026--08--01-orange" alt="Last Updated">
  <img src="https://img.shields.io/badge/format-YAML-yellow" alt="Format: YAML">
  <a href="https://huggingface.co/collections/Nanthasit/sakthai-model-family-6a64745450b12d421c1f9f02"><img src="https://img.shields.io/badge/collection-SakThai%20Family-8A2BE2" alt="Collection"/></a>
</p>

## 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 with `yaml.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](https://huggingface.co/datasets/Nanthasit/eval_results/raw/main/README.md) | current | ~10 KB |
| [benchmark-20260731_150000.yaml](https://huggingface.co/datasets/Nanthasit/eval_results/raw/main/benchmark-20260731_150000.yaml) | 2026-07-31 | 1.1 KB |
| [inference-check-20260730_232640.yaml](https://huggingface.co/datasets/Nanthasit/eval_results/raw/main/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

```text
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:

```python
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

```bibtex
@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](https://huggingface.co/Nanthasit). Built with love, tears, and zero budget. From a shelter in Cork, Ireland, to the world.*