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README.md
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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:
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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
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| config | domains | rows | meaning |
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| --- | ---: | ---: | --- |
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| **`
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| **`
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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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```
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Built by `scripts/build_tinyrouter_m1_slim.py`.
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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: 5-domain
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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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- config_name: 20-domain
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data_files:
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- split: train
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path: 20-domain/train.parquet
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- split: test
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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`.
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