Publish full trajectory inventory for Croissant metadata

README.md

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 ---
 license: mit
+pretty_name: Discovery Agent Evaluation Trajectories
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/trajectories.parquet
 ---
+
+# Discovery Agent Evaluation Trajectories
+
+This dataset indexes 1,728 discovery-agent trajectory JSON files spanning 6 model identifiers, 24 tasks, 4 harness filename labels, and 3 runs per combination.
+
+**Upload status:** the complete 1,728-row inventory is available. The original JSON files are being uploaded; a linked file may be unavailable until that upload completes.
+
+`data/trajectories.parquet` contains one row per original JSON file. `trajectory_id` is its source-relative path without the extension. `model` and `task` come from directory names; `harness` and integer `run` come from the filename. `raw_path` is the repository-relative path, `raw_url` is the download URL, and `raw_size_bytes` is the original byte size. Harness labels are preserved as recorded, including `L2b`.
+
+The Dataset Viewer and automatically generated Croissant metadata describe this inventory. The complete nested step contents are stored in the referenced original JSON files and are not expanded into Croissant fields. The `train` split is a container for the full inventory, not an experimental train/test partition.
+
+```python
+from datasets import load_dataset
+index = load_dataset("IMJOHNADAMS/discovery-agent-eval-trajectories", split="train")
+```
+
+Croissant JSON-LD: https://huggingface.co/api/datasets/IMJOHNADAMS/discovery-agent-eval-trajectories/croissant

data/trajectories.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:54a79b3e151e14de95877050d45c4759a86bea749d11722208754e2a93c6a5f9
+size 93581