Configure raw and deduplicated splits

README.md

@@ -1,83 +1,71 @@
 ---
-license: mit
-tags:
-- agent
-- code
-- mcp
-- model-context-protocol
-size_categories: 1K<n<10K
-region: us
 configs:
-- config_name: default
+- config_name: raw
   data_files:
-  - split: train
-    path: data/train-*
   - split: raw
-    path: data/raw-*
-dataset_info:
-  features:
-  - name: name
-    dtype: string
-  - name: version
-    dtype: string
-  - name: capabilities
-    dtype: string
-  - name: last_seen
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 113543
-    num_examples: 1320
-  - name: raw
-    num_bytes: 3979
-    num_examples: 45
-  download_size: 42059
-  dataset_size: 117522
+    path: raw/*.parquet
+- config_name: deduplicated
+  data_files:
+  - split: deduplicated
+    path: deduplicated/*.parquet
 ---
 
 # MCP Clients Dataset
 
-This data contains clients logged by the MCP Server at `huggingface.co/mcp`. 
+This data contains clients logged by the MCP Server at `huggingface.co/mcp`.
 
 ## Dataset Contents
 
 The dataset contains unique MCP client configurations with the following fields:
+
+### Raw Split (`raw`)
 - **name**: MCP client name (e.g., "Cursor", "Anthropic/ClaudeAI", "chat-ui-mcp")
 - **version**: Client version
 - **capabilities**: Client capabilities (JSON string)
 - **last_seen**: Most recent timestamp when this client was seen
 
+### Deduplicated Split (`deduplicated`)
+- **name**: MCP client name (normalized, mcp-remote suffix stripped)
+- **versions**: All versions seen for this client (comma-separated)
+- **capabilities**: Client capabilities (JSON string)
+- **last_seen**: Most recent timestamp when this client was seen
+
 ## Notes about the Data
 
 - Some Clients only send capabilities that have been configured (for example, `fast-agent` only sends the `roots` capability if they have been configured)
 - There are a number of capabilities out of specification that are helpful to track (e.g. MCP-UI, Skybridge, Apps SDK). We encourage the use of `experimental` to advertise these capabilities for tracking.
 - The data is extracted from the `evalstate/hf-mcp-logs` dataset, filtering for `initialize` method calls and tracking the most recent `last_seen` timestamp for each unique client configuration.
+- The `deduplicated` split groups clients by (name, capabilities), concatenating all versions together.
 
 ## Usage
 
 ```python
 from datasets import load_dataset
 
-ds = load_dataset('evalstate/mcp-clients', split='train')
-for client in ds:
+# Load raw clients
+raw_ds = load_dataset('evalstate/mcp-clients', 'raw')
+for client in raw_ds['raw']:
     print(f"{client['name']} v{client['version']}")
-    print(f"Capabilities: {client['capabilities']}")
-    print(f"Last seen: {client['last_seen']}")
+
+# Load deduplicated clients
+dedup_ds = load_dataset('evalstate/mcp-clients', 'deduplicated')
+for client in dedup_ds['deduplicated']:
+    print(f"{client['name']}: {client['versions']}")
 ```
 
 ## Updating the Dataset
 
-The dataset is kept up-to-date via Hugging Face Jobs, which runs the `mcp_clients_job.py` script on a schedule.
+The dataset is kept up-to-date via Hugging Face Jobs:
 
-To run the extraction script locally for testing:
+1. **Extract step** (`raw` split):
+   ```bash
+   uv run https://huggingface.co/datasets/evalstate/mcp-clients/resolve/main/extract_mcp_clients.py --push-to-hub --split raw
+   ```
 
-```bash
-# Run with limit (for testing)
-uv run mcp_clients_job.py --limit 10000
-
-# Run on full dataset
-uv run mcp_clients_job.py
-```
+2. **Deduplicate step** (`deduplicated` split):
+   ```bash
+   uv run https://huggingface.co/datasets/evalstate/mcp-clients/resolve/main/deduplicate_clients.py --push-to-hub --split deduplicated
+   ```
 
 ## License