Upload Neo synthetic RLCD dataset

.gitattributes

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 # Video files - compressed
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README.md

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+---
+license: apache-2.0
+language:
+- en
+- ar
+task_categories:
+- text-classification
+tags:
+- system-one
+- decision-model
+- rlcd
+- synthetic
+- tool-routing
+---
+
+# Neo Decision Dataset
+
+Synthetic, schema-driven decision records for training and evaluating Neo, a System One decision model.
+
+## Contents
+
+- Up to 1,000,000 individual decisions.
+- Approximately 400,000 state records.
+- `choice`, `score`, and `noul` questions.
+- English, Modern Standard Arabic, and Egyptian Arabic.
+- Tool routing, urgency, human-review, ambiguity, distractor tools, option permutations, and unknowable cases.
+
+## Provenance
+
+The records in this release are generated by the versioned `neo-synthetic-v1` generator in the Neo repository. No rows from public datasets are copied into the generated corpus. Public datasets are used only for schema design, sanity checks, or separately documented evaluation.
+
+Generator seed: `20261002`
+
+## Splits
+
+- `train`: 800,000 decisions
+- `calibration`: 100,000 decisions
+- `test`: 100,000 decisions
+
+The calibration split is reserved for probability calibration. The test split must not be used to select checkpoints, thresholds, or temperature.
+
+## Intended use and limitations
+
+This dataset is a research corpus for typed decision models. It is not a substitute for domain-specific validation, human review, or safety testing. Synthetic distributions can contain template artifacts and must not be treated as real user behavior.
+
+## License
+
+Apache-2.0 for the generator and generated records in this repository. Third-party datasets referenced by the project are not included in this release and retain their own terms.

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manifest.json

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+{
+  "generator": "neo-synthetic-v1",
+  "records": 400000,
+  "decisions": {
+    "train": 800178,
+    "calibration": 99889,
+    "test": 99933
+  },
+  "total_decisions": 1000000,
+  "seed": 20261002,
+  "output": "/mnt/opet-data/neo/data/generated-large/neo-v0.1.jsonl"
+}