Remove obsolete coarse/fine/data; keep 5-domain and 20-domain

coarse/README.md

@@ -1,38 +0,0 @@
----
-pretty_name: tinyrouter-m1-coarse
-task_categories:
-  - text-classification
-tags:
-  - tinyrouter
-  - milestone-1
-  - coarse
-license: other
----
-
-# tinyrouter-m1 / coarse
-
-Coarse 5-domain triage over the full Milestone-1 pool.
-
-## Schema
-
-`id | domain | difficulty | prompt` — difficulty 1–5.
-
-## Domains (5)
-
-`math`, `code`, `knowledge`, `commonsense`, `instruction`
-
-- train: **311,868**
-- test: **16,414**
-
-| domain | rows |
-| --- | ---: |
-| `math` | 108,100 |
-| `code` | 3,167 |
-| `knowledge` | 141,646 |
-| `commonsense` | 59,950 |
-| `instruction` | 15,419 |
-
-```python
-from datasets import load_dataset
-ds = load_dataset("James-Cuda/tinyrouter-m1", "coarse", split="train")
-```

coarse/test-00000-of-00001.parquet

@@ -1,3 +0,0 @@
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coarse/train-00000-of-00001.parquet

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data/test-00000-of-00001.parquet

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data/train-00000-of-00001.parquet

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fine/README.md

@@ -1,53 +0,0 @@
----
-pretty_name: tinyrouter-m1-fine
-task_categories:
-  - text-classification
-tags:
-  - tinyrouter
-  - milestone-1
-  - fine
-license: other
----
-
-# tinyrouter-m1 / fine
-
-Fine taxonomy = **exact** Glint [GCI-Bench](https://huggingface.co/datasets/Glint-Research/GCI_Bench) 20 topics (gci_bench rows only).
-
-## Schema
-
-`id | domain | difficulty | prompt` — difficulty 1–5.
-
-## Domains (20)
-
-`agriculture`, `archaeology`, `architecture`, `astronomy`, `automotive`, `aviation`, `chemistry`, `cooking`, `energy`, `finance`, `gardening`, `hardware`, `marine`, `music`, `photography`, `physiology`, `sports`, `textiles`, `weather`, `wildlife`
-
-- train: **4,750**
-- test: **250**
-
-| domain | rows |
-| --- | ---: |
-| `agriculture` | 250 |
-| `archaeology` | 250 |
-| `architecture` | 250 |
-| `astronomy` | 250 |
-| `automotive` | 250 |
-| `aviation` | 250 |
-| `chemistry` | 250 |
-| `cooking` | 250 |
-| `energy` | 250 |
-| `finance` | 250 |
-| `gardening` | 250 |
-| `hardware` | 250 |
-| `marine` | 250 |
-| `music` | 250 |
-| `photography` | 250 |
-| `physiology` | 250 |
-| `sports` | 250 |
-| `textiles` | 250 |
-| `weather` | 250 |
-| `wildlife` | 250 |
-
-```python
-from datasets import load_dataset
-ds = load_dataset("James-Cuda/tinyrouter-m1", "fine", split="train")
-```

fine/test-00000-of-00001.parquet

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fine/train-00000-of-00001.parquet

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