Duplicate from davidkling/hf-coding-tools-dashboard-v2

Co-authored-by: David Klingbeil <davidkling@users.noreply.huggingface.co>

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README.md

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+---
+pretty_name: HuggingFace AI Coding Tools Dashboard (Enhanced)
+task_categories:
+  - text-generation
+tags:
+  - benchmark
+  - ai-coding-tools
+  - huggingface
+  - v2
+language:
+  - en
+  - code
+license: cc-by-4.0
+size_categories:
+  - 1K<n<10K
+configs:
+  - config_name: results
+    data_files:
+      - split: train
+        path: data/results-*.parquet
+  - config_name: queries
+    data_files:
+      - split: train
+        path: data/queries-*.parquet
+  - config_name: runs
+    data_files:
+      - split: train
+        path: data/runs-*.parquet
+  - config_name: products
+    data_files:
+      - split: train
+        path: data/products-*.parquet
+---
+
+# HuggingFace AI Coding Tools Dashboard (Enhanced)
+
+Enhanced benchmark data from the [HuggingFace AI Dashboard](https://huggingface.submarine.ai) — includes query metadata (query_set, intent), run metadata (run_name, run_date), and freshness flags for stale references.
+
+This is the **v2 enhanced** dataset. The original dataset is at [davidkling/hf-coding-tools-dashboard](https://huggingface.co/datasets/davidkling/hf-coding-tools-dashboard).
+
+## Dataset Structure
+
+| Split | Description | Rows |
+|-------|-------------|------|
+| `results` | Enhanced results with query/run metadata and freshness flags | 9146 |
+| `queries` | Benchmark query definitions with query_set and intent columns | 404 |
+| `runs` | Run metadata and tool/model configurations | 2 |
+| `products` | HuggingFace product catalog with detection keywords | 44 |
+
+## Enhanced Fields (results)
+
+All fields from the base dataset, plus:
+- **query_set**: Which query set was used (`v1` or `v2`)
+- **intent**: Query intent taxonomy (`build`, `fix`, `integrate`, `optimize`, `discover`)
+- **run_name**: Human-readable run name
+- **run_date**: When the run started
+- **freshness_flag**: `ok` or `stale_reference` — flags responses that cite deprecated models/resources
+- **attempt_number**: 1-indexed attempt within each `(query_id, tool, model, effort, thinking)` group
+- **is_latest_attempt**: `True` if this is the most recent attempt in its group
+
+## Notes on retries
+
+Some `(query_id, tool, model, effort, thinking)` configurations were re-run during data collection (mostly Claude Code, due to credit/timeout retries on Run 53). Both attempts are kept in this dataset for variance analysis.
+
+- Use **`is_latest_attempt = true`** to filter to one row per configuration (8,359 rows). Recommended for aggregate rate calculations to avoid double-counting.
+- Use all rows (9,146) to study response consistency / variance across retries.
+
+Distribution: 7,820 configurations ran once; 539 ran 2 or 3 times.
+
+## Query Sets
+
+- **v1**: Original 32-category query set covering general AI coding tool usage
+- **v2**: Expanded query set with intent-tagged queries for deeper analysis
+
+## Intent Taxonomy
+
+| Intent | Description |
+|--------|-------------|
+| `build` | Building something new from scratch |
+| `fix` | Debugging or fixing an issue |
+| `integrate` | Connecting tools/services together |
+| `optimize` | Improving performance or efficiency |
+| `discover` | Exploring options and learning |
+
+## Example Queries
+
+**DuckDB — HF mention rate by intent:**
+```sql
+SELECT intent, tool,
+  COUNT(*) as total,
+  SUM(CASE WHEN has_hf_mention THEN 1 ELSE 0 END) as hf_mentions,
+  ROUND(100.0 * SUM(CASE WHEN has_hf_mention THEN 1 ELSE 0 END) / COUNT(*), 1) as hf_pct
+FROM results
+WHERE intent IS NOT NULL
+GROUP BY intent, tool
+ORDER BY intent, hf_pct DESC
+```
+
+**DuckDB — Freshness analysis:**
+```sql
+SELECT tool, freshness_flag, COUNT(*) as cnt
+FROM results
+GROUP BY tool, freshness_flag
+ORDER BY tool, freshness_flag
+```
+
+**DuckDB — v1 vs v2 query set comparison:**
+```sql
+SELECT query_set, tool,
+  COUNT(*) as total,
+  ROUND(AVG(CAST(cost_usd AS DOUBLE)), 4) as avg_cost
+FROM results
+GROUP BY query_set, tool
+ORDER BY query_set, tool
+```
+
+**Python — Load and filter by intent:**
+```python
+from datasets import load_dataset
+results = load_dataset("davidkling/hf-coding-tools-dashboard-v2", "results", split="train")
+build_results = results.filter(lambda x: x["intent"] == "build")
+```
+
+**Pandas — Freshness breakdown:**
+```python
+import pandas as pd
+df = pd.read_parquet("hf://datasets/davidkling/hf-coding-tools-dashboard-v2/data/results-00000-of-00001.parquet")
+print(df.groupby(["tool", "freshness_flag"]).size().unstack(fill_value=0))
+```

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