Add Viewer-ready Parquet tables for v0.0.2

Export the v0.0.2 DuckDB rounds, tool_calls, and timing_events tables to stable Parquet schemas. Keep the original GitHub release JSONL and DuckDB byte-identical as auxiliary artifacts.

README.md

@@ -17,7 +17,15 @@ configs:
     default: true
     data_files:
       - split: train
-        path: "data/v0.0.2/syfi_coding_trace.jsonl.gz"
+        path: "data/v0.0.2/rounds/train.parquet"
+  - config_name: tool_calls
+    data_files:
+      - split: train
+        path: "data/v0.0.2/tool_calls/train.parquet"
+  - config_name: timing_events
+    data_files:
+      - split: train
+        path: "data/v0.0.2/timing_events/train.parquet"
 ---
 
 # TraceLab Coding Agent Workload Traces
@@ -50,6 +58,14 @@ print(dataset.num_rows)
 print(dataset.features)
 ```
 
+The default config is the `rounds` table. Load the normalized child tables separately and join them
+to rounds with `round_pk`:
+
+```python
+tool_calls = load_dataset("UW-SyFI/TraceLab", "tool_calls", split="train")
+timing_events = load_dataset("UW-SyFI/TraceLab", "timing_events", split="train")
+```
+
 Pin the published snapshot for reproducible studies:
 
 ```python
@@ -74,9 +90,12 @@ print(connection.execute("SELECT provider, count(*) FROM rounds GROUP BY provide
 
 ## Data format
 
-Top-level fields include pseudonymous provider/session/round identifiers, model, token counts,
-cache-prefix accounting, source store, an ordered `timing_events` list, a nested `tools` list, and a
-stable `trace_key`.
+The Viewer-friendly Parquet representation contains three relational tables with stable schemas:
+
+- `default` / `rounds`: 665,453 LLM invocations with pseudonymous provider/session/round
+  identifiers, model, token counts, cache-prefix accounting, source store, and `trace_key`.
+- `tool_calls`: 743,819 normalized tool calls keyed to `rounds.round_pk`.
+- `timing_events`: 2,688,829 ordered events keyed to `rounds.round_pk`.
 
 Important token fields include:
 
@@ -85,9 +104,14 @@ Important token fields include:
 - `newly_append_tokens`: non-cached input tokens appended for the invocation.
 - `output_tokens`: generated output tokens.
 
-`tools[]` contains privacy-safe structural metadata such as tool name, pseudonymous tool-call id,
+`tool_calls` contains privacy-safe structural metadata such as tool name, pseudonymous tool-call id,
 timestamps, input/result character counts, latency, error status, executable labels, and command
-skeletons. Full tool inputs and outputs are not published.
+skeletons. `timing_events.event_index` preserves event order within each round. Full tool inputs and
+outputs are not published.
+
+The original sanitized nested JSONL and the query-ready DuckDB remain available as auxiliary files.
+They are byte-identical to the GitHub v0.0.2 release assets. The Parquet tables are deterministic
+relational exports of that DuckDB for Hugging Face Data Studio and `load_dataset()`.
 
 ## Sanitization and responsible use
 
@@ -117,6 +141,9 @@ projects from the remaining workload structure.
 
 | File | SHA-256 |
 |---|---|
+| `data/v0.0.2/rounds/train.parquet` | `cb8c2b1d23307090c8057c747f955663bacde16a49f84a3c5071a1e2e96a7ab8` |
+| `data/v0.0.2/tool_calls/train.parquet` | `7186e0d86d3d870e5b374cc29678a4754fcb789ebee4f5ad86461dd02db6f68b` |
+| `data/v0.0.2/timing_events/train.parquet` | `a207499989d4f004a6807698c33ad6da57cd30fd45404188bf8593fc4d3b9296` |
 | `data/v0.0.2/syfi_coding_trace.jsonl.gz` | `11ce51ec0a25e3d1d95b025bca2f7d1647e47571eb7cc968acd5fc64d4b4fb65` |
 | `artifacts/v0.0.2/syfi_coding_trace.duckdb` | `a7bab286bc640844560850965ccf47975cf66407154132abaab90f27ec9be744` |
 

SHA256SUMS

@@ -1,2 +1,5 @@
 11ce51ec0a25e3d1d95b025bca2f7d1647e47571eb7cc968acd5fc64d4b4fb65  data/v0.0.2/syfi_coding_trace.jsonl.gz
 a7bab286bc640844560850965ccf47975cf66407154132abaab90f27ec9be744  artifacts/v0.0.2/syfi_coding_trace.duckdb
+cb8c2b1d23307090c8057c747f955663bacde16a49f84a3c5071a1e2e96a7ab8  data/v0.0.2/rounds/train.parquet
+7186e0d86d3d870e5b374cc29678a4754fcb789ebee4f5ad86461dd02db6f68b  data/v0.0.2/tool_calls/train.parquet
+a207499989d4f004a6807698c33ad6da57cd30fd45404188bf8593fc4d3b9296  data/v0.0.2/timing_events/train.parquet

data/v0.0.2/rounds/train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb8c2b1d23307090c8057c747f955663bacde16a49f84a3c5071a1e2e96a7ab8
+size 22785108

data/v0.0.2/timing_events/train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a207499989d4f004a6807698c33ad6da57cd30fd45404188bf8593fc4d3b9296
+size 28511584

data/v0.0.2/tool_calls/train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7186e0d86d3d870e5b374cc29678a4754fcb789ebee4f5ad86461dd02db6f68b
+size 25909050