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  ---
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  pretty_name: tinyrouter-m1
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  task_categories:
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- - text-classification
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  tags:
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- - tinyrouter
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- - milestone-1
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- - gci-bench
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  license: other
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  configs:
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- - config_name: 20-domain
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- data_files:
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- - split: train
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- path: 20-domain/train-*
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- - split: test
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- path: 20-domain/test-*
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- - config_name: 5-domain
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- data_files:
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- - split: train
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- path: 5-domain/train-*
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- - split: test
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- path: 5-domain/test-*
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- - config_name: coarse
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- data_files:
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- - split: train
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- path: coarse/train.parquet
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- - split: test
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- path: coarse/test.parquet
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- - config_name: default
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- data_files:
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- - split: train
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- path: coarse/train.parquet
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- - split: test
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- path: coarse/test.parquet
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- - config_name: fine
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- data_files:
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- - split: train
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- path: fine/train.parquet
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- - split: test
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- path: fine/test.parquet
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- dataset_info:
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- - config_name: 20-domain
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- features:
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- - name: id
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- dtype: large_string
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- - name: domain
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- dtype: large_string
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- - name: difficulty
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- dtype: int64
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- - name: prompt
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- dtype: large_string
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- splits:
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- - name: train
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- num_bytes: 3548851
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- num_examples: 4750
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- - name: test
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- num_bytes: 183127
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- num_examples: 250
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- download_size: 1150061
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- dataset_size: 3731978
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- - config_name: 5-domain
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- features:
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- - name: id
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- dtype: large_string
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- - name: domain
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- dtype: large_string
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- - name: difficulty
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- dtype: int64
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- - name: prompt
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- dtype: large_string
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- splits:
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- - name: train
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- num_bytes: 263397208
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- num_examples: 311868
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- - name: test
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- num_bytes: 13820270
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- num_examples: 16414
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- download_size: 160354420
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- dataset_size: 277217478
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  ---
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  # tinyrouter-m1
@@ -85,10 +34,10 @@ Two **separate** Milestone-1 triage sets (same schema, different domain taxonomi
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  | config | domains | rows | meaning |
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  | --- | ---: | ---: | --- |
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- | **`coarse`** | **5** | 328,282 | `math` / `code` / `knowledge` / `commonsense` / `instruction` over the full M1 pool |
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- | **`fine`** | **20** | 5,000 | **exact** [GCI-Bench](https://huggingface.co/datasets/Glint-Research/GCI_Bench) topics |
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- Fine domains (official GCI topics):
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  `agriculture`, `archaeology`, `architecture`, `astronomy`, `automotive`, `aviation`, `chemistry`, `cooking`, `energy`, `finance`, `gardening`, `hardware`, `marine`, `music`, `photography`, `physiology`, `sports`, `textiles`, `weather`, `wildlife`
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@@ -96,8 +45,8 @@ Schema: `id | domain | difficulty | prompt` (difficulty 1–5).
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  ```python
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  from datasets import load_dataset
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- coarse = load_dataset("James-Cuda/tinyrouter-m1", "coarse", split="train")
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- fine = load_dataset("James-Cuda/tinyrouter-m1", "fine", split="train") # GCI-Bench topics
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  ```
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  Built by `scripts/build_tinyrouter_m1_slim.py`.
 
1
  ---
2
  pretty_name: tinyrouter-m1
3
  task_categories:
4
+ - text-classification
5
  tags:
6
+ - tinyrouter
7
+ - milestone-1
8
+ - gci-bench
9
  license: other
10
  configs:
11
+ - config_name: 5-domain
12
+ data_files:
13
+ - split: train
14
+ path: 5-domain/train.parquet
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+ - split: test
16
+ path: 5-domain/test.parquet
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+ - config_name: 20-domain
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+ data_files:
19
+ - split: train
20
+ path: 20-domain/train.parquet
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+ - split: test
22
+ path: 20-domain/test.parquet
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: 5-domain/train.parquet
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+ - split: test
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+ path: 5-domain/test.parquet
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # tinyrouter-m1
 
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  | config | domains | rows | meaning |
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  | --- | ---: | ---: | --- |
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+ | **`5-domain`** | **5** | 328,282 | `math` / `code` / `knowledge` / `commonsense` / `instruction` over the full M1 pool |
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+ | **`20-domain`** | **20** | 5,000 | **exact** [GCI-Bench](https://huggingface.co/datasets/Glint-Research/GCI_Bench) topics |
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+ 20-domain labels (official GCI topics):
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  `agriculture`, `archaeology`, `architecture`, `astronomy`, `automotive`, `aviation`, `chemistry`, `cooking`, `energy`, `finance`, `gardening`, `hardware`, `marine`, `music`, `photography`, `physiology`, `sports`, `textiles`, `weather`, `wildlife`
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  ```python
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  from datasets import load_dataset
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+ ds5 = load_dataset("James-Cuda/tinyrouter-m1", "5-domain", split="train")
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+ ds20 = load_dataset("James-Cuda/tinyrouter-m1", "20-domain", split="train") # GCI-Bench topics
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  ```
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  Built by `scripts/build_tinyrouter_m1_slim.py`.