Dataset card v1.0

README.md

@@ -1,66 +1,10 @@
 ---
 license: cc-by-sa-4.0
-language:
-- en
-task_categories:
-- text-classification
-tags:
-- routing
-- orchestration
-- llm-router
-- multi-agent
-- model-selection
+language: [en]
+task_categories: [text-classification]
+tags: [routing, orchestration, llm-router, multi-agent, model-selection]
 pretty_name: Shaktimaan Routing Data v1.0
-size_categories:
-- 1K<n<10K
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: source
-    dtype: string
-  - name: domain
-    dtype: string
-  - name: kind
-    dtype: string
-  - name: gold
-    dtype: string
-  - name: prompt
-    dtype: string
-  - name: has_image
-    dtype: bool
-  - name: est_tokens
-    dtype: int64
-  - name: prompt_truncated
-    dtype: bool
-  - name: router_input
-    dtype: string
-  - name: route
-    dtype: string
-  - name: agent_results
-    dtype: string
-  - name: messages
-    list:
-    - name: role
-      dtype: string
-    - name: content
-      dtype: string
-  splits:
-  - name: train
-    num_bytes: 19208201
-    num_examples: 4720
-  - name: test
-    num_bytes: 1974064
-    num_examples: 523
-  download_size: 8515194
-  dataset_size: 21182265
+size_categories: [1K<n<10K]
 ---
 # Shaktimaan Routing Data v1.0
 
@@ -74,7 +18,7 @@ tasks). The model was additionally trained and evaluated on 300 ChartQA rows tha
 Licensing).
 
 ## Agent pool
-| agent | model | context | image input | relative cost / token |
+| agent | model | context | image input (in this pool) | relative cost / token |
 |---|---|---|---|---|
 | `gemma-3-1b` | `google/gemma-3-1b-it` | 32k | no | 0.02 |
 | `kimi-vl` | `Kimi-VL-A3B-Thinking` | 8k | yes | 0.05 |
@@ -96,7 +40,7 @@ cost (roughly active parameters), not a vendor price.
 | [MBPP](https://huggingface.co/datasets/google-research-datasets/mbpp) | Python coding | 633 | 67 | unit tests executed in a network-less sandbox | CC-BY-4.0 |
 | [HumanEval](https://huggingface.co/datasets/openai/openai_humaneval) | Python coding | 146 | 18 | unit tests executed in a network-less sandbox | MIT |
 | [LongBench-v2](https://huggingface.co/datasets/THUDM/LongBench-v2) | long-context MCQ (up to ~260k tokens) | 347 | 32 | option letter | Apache-2.0 |
-| [ChartQA](https://huggingface.co/datasets/HuggingFaceM4/ChartQA) | chart images | 269 | 31 | relaxed match (numbers within 5%) | GPL-3.0 |
+| [ChartQA](https://huggingface.co/datasets/HuggingFaceM4/ChartQA) | chart images | 269 | 31 | relaxed match (numbers within 5%) | GPL-3.0 (**not published here**) |
 
 Long LongBench-v2 contexts are stored truncated to what the router reads (first 5,000 and last 1,500 characters);
 `est_tokens` keeps the original size.
@@ -126,7 +70,7 @@ Long LongBench-v2 contexts are stored truncated to what the router reads (first
 | ChartQA | 0.0% | 80.0% | 0.0% | 0.0% | 0.0% | 0.0% |
 | **all** | **25.2%** | **60.8%** | **75.8%** | **78.1%** | **77.9%** | **79.3%** |
 
-### Label distribution
+### Label distribution (all 5543 tasks incl. ChartQA)
 | route label | tasks | share |
 |---|---|---|
 | `glm-5.3-flash` | 1854 | 33.4% |