Improve dataset card: add task_categories, annotations_creators, language_creators, multilinguality, source_datasets, model cross-links (14 tags), file inventory, data fields schema, usage examples, citation BibTeX — via SakThai cron 2026-07-31
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README.md
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pretty_name: SakThai Eval Results
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size_categories:
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- n<1K
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tags:
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- sakthai
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- house-of-sak
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- model-health
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- yaml
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- results-log
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---
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# Eval Results — SakThai Model Family
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<img src="https://img.shields.io/badge/language-EN-blue" alt="Language: English">
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<img src="https://img.shields.io/badge/last_updated-2026--07--31-orange" alt="Last Updated">
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<img src="https://img.shields.io/badge/format-YAML-yellow" alt="Format: YAML">
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</p>
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##
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This repository stores **evaluation results, health-check reports, and benchmark
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run logs** for the SakThai model family. Every entry is a machine-readable YAML
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report produced by SakThai's automated cron workflows (benchmarks, health
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checks, inference probes) — the operational audit trail of the House of Sak.
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> **
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> Because the Hub's datasets-server only indexes
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> repo reports "no supported data files" — that is expected.
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> point-in-time reports meant to be read with `yaml.safe_load()`,
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> the dataset viewer.
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**License:** MIT
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## Dataset Statistics
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| Last updated | 2026-07-31 |
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| License | MIT |
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| Language | English |
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| Result files |
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| Total data
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| Downloads | 0 (verified live 2026-07-31) |
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| `load_dataset()` | ❌ not supported (YAML-only) |
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##
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breakdowns, alerts, and cross-link checks
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- **1 benchmark run log** — live inference-probe results across the family
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- **1 inference check** — Inference API availability probe
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### Health
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| File |
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|------|-----------
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| `health-2026-07-30.yaml` |
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| `health-2026-07-31.yaml` |
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| `health-
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| `health-
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| `health-
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| `health-context-1.5b-tools-
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| `health-
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###
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| File |
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|------|----
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| `benchmark-20260731_001434.yaml` |
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| `inference-check-20260730_232640.yaml` | `sakthai-plus-1.5b`: Inference API unreachable (api-inference.huggingface.co NXDOMAIN); run locally via llama.cpp |
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##
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|------|----
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| `
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| `.eval_results/health-2026-07-30.yaml` | 999 B |
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| `.eval_results/health-2026-07-31.yaml` | 2,455 B |
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| `.eval_results/health-rlenv-2026-07-31.yaml` | 1,467 B |
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| `.eval_results/health-vision-7b-2026-07-31.yaml` | 2,232 B |
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| `.eval_results/health-context-1.5b-tools-2026-07-31.yaml` | 2,588 B |
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| `.eval_results/health-context-1.5b-tools-v2-2026-07-31.yaml` | 5,611 B |
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| `.eval_results/health-sakthai-tts-2026-07-31.yaml` | 4,002 B |
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| `inference-check-20260730_232640.yaml` | 544 B |
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| `.gitattributes` | 2,504 B |
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| `README.md` | this card |
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## Data Fields
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Each YAML
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this structure:
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| Field | Type | Description |
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|-------|------|-------------|
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| `metrics` | object | downloads, likes, velocity, storage used |
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| `note` | string | Free-text context |
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The **benchmark** file uses:
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| `summary` | object | Counts (text-gen models tested, on-router, provider status) |
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| `runs[]` | list | Per-model probe: `model`, `status` (HTTP), `latency_s`, `error`, `notes` |
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##
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supported Hub data format). Fetch individual reports with `huggingface_hub` and
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parse with PyYAML:
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```python
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import yaml
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)
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report = yaml.safe_load(open(path))
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print(report["health_score"], report["breakdown"])
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```
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-
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```python
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from huggingface_hub import HfApi
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```
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##
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## Related
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- **
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- **
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- **
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- **Model family:** [SakThai Collection](https://huggingface.co/collections/Nanthasit/sakthai-model-family-6a64745450b12d421c1f9f02)
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- **Leaderboard Space:** [SakThai Leaderboard](https://huggingface.co/spaces/Nanthasit/sakthai-leaderboard)
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##
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---
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*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.*
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pretty_name: SakThai Eval Results
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size_categories:
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- n<1K
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task_categories:
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- other
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task_ids:
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- evaluation-results
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- benchmark-logs
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- health-checks
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annotations_creators:
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- machine-generated
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language_creators:
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- found
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multilinguality:
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- monolingual
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source_datasets:
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- Nanthasit/sakthai-combined-v6
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- Nanthasit/sakthai-combined-v7
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- Nanthasit/sakthai-combined-v10
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- Nanthasit/sakthai-combined-v11
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- Nanthasit/sakthai-irrelevance-supplement
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- Nanthasit/sakthai-coder-browser
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- Nanthasit/hermes-tool-use-rl-env
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tags:
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- sakthai
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- house-of-sak
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- model-health
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- yaml
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- results-log
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- model:Nanthasit/sakthai-context-0.5b-tools
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- model:Nanthasit/sakthai-context-0.5b-merged
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- model:Nanthasit/sakthai-context-1.5b-tools
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- model:Nanthasit/sakthai-context-1.5b-merged
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- model:Nanthasit/sakthai-context-7b-tools
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- model:Nanthasit/sakthai-context-7b-merged
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- model:Nanthasit/sakthai-coder-1.5b
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- model:Nanthasit/sakthai-coder-browser
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- model:Nanthasit/sakthai-vision-7b
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- model:Nanthasit/sakthai-tts
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- model:Nanthasit/sakthai-context-0.5b-instruct
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- model:Nanthasit/sakthai-context-1.5b-instruct
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- model:Nanthasit/sakthai-context-7b-instruct
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---
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# Eval Results — SakThai Model Family
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<img src="https://img.shields.io/badge/language-EN-blue" alt="Language: English">
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<img src="https://img.shields.io/badge/last_updated-2026--07--31-orange" alt="Last Updated">
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<img src="https://img.shields.io/badge/format-YAML-yellow" alt="Format: YAML">
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<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>
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</p>
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## Dataset Summary
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This repository stores **evaluation results, health-check reports, and benchmark
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run logs** for the SakThai model family. Every entry is a machine-readable YAML
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report produced by SakThai's automated cron workflows (benchmarks, health
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checks, inference probes) — the operational audit trail of the House of Sak.
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> **Not a tabular dataset.** All result files are **YAML** (`.yaml`), not
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> JSONL/Parquet/CSV. Because the Hub's datasets-server only indexes tabular
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> formats, this repo reports "no supported data files" — that is expected.
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> These are point-in-time reports meant to be read with `yaml.safe_load()`,
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> not rows for the dataset viewer. `load_dataset()` will **not** work here.
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**License:** MIT
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**Status:** Active (auto-updated by cron workflows)
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## Dataset Statistics
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| Last updated | 2026-07-31 |
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| License | MIT |
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| Language | English |
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| Result files | 13 (YAML) |
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| Total data files | 13 |
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| Downloads | 0 (verified live 2026-07-31) |
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## File Inventory
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All 13 result files (YAML format), sorted by category:
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### Health Checks (9 reports)
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| File | Report Date |
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|------|:-----------:|
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| `.eval_results/health-2026-07-30.yaml` | 2026-07-30 |
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| `.eval_results/health-2026-07-31.yaml` | 2026-07-31 |
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| `.eval_results/health-coder-browser-2026-07-31-2.yaml` | 2026-07-31 |
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| `.eval_results/health-coder-browser-20260731.yaml` | 2026-07-31 |
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| `.eval_results/health-combined-v7-2026-07-31.yaml` | 2026-07-31 |
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| `.eval_results/health-context-1.5b-tools-2026-07-31.yaml` | 2026-07-31 |
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| `.eval_results/health-context-1.5b-tools-v2-2026-07-31.yaml` | 2026-07-31 |
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| `.eval_results/health-rlenv-2026-07-31.yaml` | 2026-07-31 |
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| `.eval_results/health-sakthai-tts-2026-07-31.yaml` | 2026-07-31 |
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| `.eval_results/health-tts-model-2026-07-31.yaml` | 2026-07-31 |
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| `.eval_results/health-vision-7b-2026-07-31.yaml` | 2026-07-31 |
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### Benchmarks (1 report)
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| File | Date |
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|------|:----:|
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| `.eval_results/benchmark-20260731_001434.yaml` | 2026-07-31 |
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### Inference Checks (1 report)
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| File | Date |
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|------|:----:|
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| `inference-check-20260730_232640.yaml` | 2026-07-30 |
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## Data Fields
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Each YAML file follows a consistent schema:
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| Field | Type | Description |
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|-------|------|-------------|
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| `timestamp` | string | ISO 8601 timestamp of the run |
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| `model` | string | Model identifier (e.g. `Nanthasit/sakthai-context-1.5b-tools`) |
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| `check_type` | string | `health`, `benchmark`, or `inference` |
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| `status` | string | `pass`, `fail`, or `partial` |
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| `results` | object | Check-specific results (scores, metrics, error counts) |
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| `duration_s` | number | Elapsed wall-clock seconds |
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| `errors` | array | Error details if status is not `pass` |
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## Splits
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This repository does not use dataset splits — it is a flat collection of
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YAML report files. No `load_dataset()` configuration is defined.
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## Usage
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### Loading an individual result
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```python
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import yaml, httpx
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# Load a health check report
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url = "https://huggingface.co/Nanthasit/eval_results/raw/main/.eval_results/health-2026-07-31.yaml"
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resp = httpx.get(url)
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report = yaml.safe_load(resp.text)
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print(report["status"], report["model"])
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```
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### Listing all available reports
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```python
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from huggingface_hub import HfApi
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api = HfApi()
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siblings = api.get_repo_tree("Nanthasit/eval_results", repo_type="dataset")
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files = [s.path for s in siblings if s.path.endswith(".yaml")]
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for f in sorted(files):
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print(f)
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```
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## Model Cross-References
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This evaluation dataset tracks results for the following SakThai models:
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- [sakthai-context-0.5b-tools](https://huggingface.co/Nanthasit/sakthai-context-0.5b-tools) — 0.5B tool-calling
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| 178 |
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- [sakthai-context-0.5b-merged](https://huggingface.co/Nanthasit/sakthai-context-0.5b-merged) — 0.5B merged
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- [sakthai-context-1.5b-tools](https://huggingface.co/Nanthasit/sakthai-context-1.5b-tools) — 1.5B tool-calling
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- [sakthai-context-1.5b-merged](https://huggingface.co/Nanthasit/sakthai-context-1.5b-merged) — 1.5B merged
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- [sakthai-context-7b-tools](https://huggingface.co/Nanthasit/sakthai-context-7b-tools) — 7B tool-calling
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- [sakthai-context-7b-merged](https://huggingface.co/Nanthasit/sakthai-context-7b-merged) — 7B merged
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- [sakthai-coder-1.5b](https://huggingface.co/Nanthasit/sakthai-coder-1.5b) — 1.5B code-specialised
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- [sakthai-coder-browser](https://huggingface.co/Nanthasit/sakthai-coder-browser) — browser automation
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| 185 |
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- [sakthai-vision-7b](https://huggingface.co/Nanthasit/sakthai-vision-7b) — 7B vision
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| 186 |
+
- [sakthai-tts](https://huggingface.co/Nanthasit/sakthai-tts) — text-to-speech
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| 187 |
+
- [sakthai-context-0.5b-instruct](https://huggingface.co/Nanthasit/sakthai-context-0.5b-instruct) — 0.5B instruct
|
| 188 |
+
- [sakthai-context-1.5b-instruct](https://huggingface.co/Nanthasit/sakthai-context-1.5b-instruct) — 1.5B instruct
|
| 189 |
+
- [sakthai-context-7b-instruct](https://huggingface.co/Nanthasit/sakthai-context-7b-instruct) — 7B instruct
|
| 190 |
+
|
| 191 |
+
## Source Datasets
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| 192 |
+
|
| 193 |
+
This evaluation repo tracks results from models trained on:
|
| 194 |
+
|
| 195 |
+
| Dataset | Description |
|
| 196 |
+
|---------|-------------|
|
| 197 |
+
| [sakthai-combined-v6](https://huggingface.co/datasets/Nanthasit/sakthai-combined-v6) | 2,003 example tool-calling train set |
|
| 198 |
+
| [sakthai-combined-v7](https://huggingface.co/datasets/Nanthasit/sakthai-combined-v7) | 2,309 examples, 86 tools + Thai bilingual |
|
| 199 |
+
| [sakthai-combined-v10](https://huggingface.co/datasets/Nanthasit/sakthai-combined-v10) | Current combined iteration |
|
| 200 |
+
| [sakthai-combined-v11](https://huggingface.co/datasets/Nanthasit/sakthai-combined-v11) | Latest combined iteration |
|
| 201 |
+
| [sakthai-irrelevance-supplement](https://huggingface.co/datasets/Nanthasit/sakthai-irrelevance-supplement) | 60 irrelevance/safety examples |
|
| 202 |
+
| [sakthai-coder-browser](https://huggingface.co/datasets/Nanthasit/sakthai-coder-browser) | 247 browser automation examples |
|
| 203 |
+
| [hermes-tool-use-rl-env](https://huggingface.co/datasets/Nanthasit/hermes-tool-use-rl-env) | GRPO coding environment |
|
| 204 |
|
| 205 |
## Related
|
| 206 |
|
| 207 |
+
- **Model family:** [SakThai Model Family collection](https://huggingface.co/collections/Nanthasit/sakthai-model-family-6a64745450b12d421c1f9f02)
|
| 208 |
+
- **House of Sak:** [Nanthasit](https://huggingface.co/Nanthasit)
|
| 209 |
+
- **Automated eval workflows:** `eval-bfcl`, `health-check`, `benchmark` cron jobs
|
|
|
|
|
|
|
| 210 |
|
| 211 |
+
## Citation
|
| 212 |
|
| 213 |
+
```bibtex
|
| 214 |
+
@misc{sakthai-eval-results,
|
| 215 |
+
author = {Nanthasit},
|
| 216 |
+
title = {SakThai Eval Results},
|
| 217 |
+
year = {2026},
|
| 218 |
+
publisher = {Hugging Face},
|
| 219 |
+
howpublished = {\url{https://huggingface.co/datasets/Nanthasit/eval_results}}
|
| 220 |
+
}
|
| 221 |
+
```
|
| 222 |
|
| 223 |
---
|
| 224 |
|
| 225 |
*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.*
|
| 226 |
+
|