Add curated v2 semantic, tool-context and NLU++ configurations

Add choice_v2 with 116,440 training, 8,206 validation and 24,639 test records, plus separate semantic, tool-context and multi-label views.
Preserve the four original data files and default config. Include pinned source attribution, licenses, parent isolation, paired no-match construction, and validation audits.

LICENSE.md

@@ -0,0 +1,15 @@
+# Licenses and attribution
+
+FastBrain-Instruct is a collection of upstream material and adaptations. Each component retains its applicable terms. This file does not replace those licenses or apply a blanket MIT license to the collection. The `source`, `source_repo` and `provenance_json` fields identify components in the mixed choice view. [Pinned revisions and acquired-file hashes](audit/source_manifest.json) accompany this notice.
+
+| Component | Attribution | Applicable terms and source |
+|---|---|---|
+| MTOP English; mapped queries, parses, labels and candidate adaptations | Meta / Facebook AI; Hugging Face mirror by WillHeld | [CC BY-SA 4.0](licenses/MTOP-CC-BY-SA-4.0.txt), verified in the [original MTOP archive](https://dl.fbaipublicfiles.com/mtop/mtop.zip); [pinned mirror](https://huggingface.co/datasets/WillHeld/mtop/tree/13054fc9d7475eebe9919802a5ae36f36abdc567) |
+| TOPv2; mapped queries, parses, labels and candidate adaptations | Meta / Facebook AI; Hugging Face mirror by WillHeld | [CC BY-SA 4.0](licenses/TOPv2-CC-BY-SA-4.0.txt), verified in the [original TOPv2 archive](https://dl.fbaipublicfiles.com/topv2/TOPv2_Dataset.zip); [pinned mirror](https://huggingface.co/datasets/WillHeld/top_v2/tree/5e382a8497d4dd28842cc0bfa85387f965ac9d8d) |
+| Funcdex conversations and function definitions | Prem Labs Inc. | MIT as declared by the [pinned dataset card](https://huggingface.co/datasets/prem-research/Funcdex-MT-Function-Calling/blob/65157ced20d9a39aaba6801b638ee50e6a571117/README.md). The author's [MIT notice](licenses/Funcdex-MIT.txt) is preserved from [the pinned generator repository](https://github.com/prem-research/Funcdex-Synthesizer/blob/e6db72cb086263e687ad464b845aaa4f4d3ae3d5/LICENSE), copyright 2025–2026 Prem Labs Inc. |
+| Nemotron interactive-agent trajectories, through AgentToolDecisions | NVIDIA Corporation; decision-format transformation by Maziyar Panahi | [CC BY 4.0 legal text](licenses/CC-BY-4.0.txt); [NVIDIA's pinned terms](https://huggingface.co/datasets/nvidia/Nemotron-SFT-Agentic-v2/blob/7c804833427f633ccd53b582dbf02525fd680f78/README.md) and [derived source](https://huggingface.co/datasets/MaziyarPanahi/AgentToolDecisions-180K/blob/22b91136648789a2881183dfc2f77d756659444c/README.md). NVIDIA additionally lists Apache 2.0 and MIT for components; those notices are not removed or relicensed here. |
+| NLU++ English hotel utterances, intent modules and slots | PolyAI / NLU++ authors | [CC BY 4.0](licenses/CC-BY-4.0.txt), copied from the [pinned original LICENSE](https://github.com/PolyAI-LDN/task-specific-datasets/blob/57ec275d8078af65b7731c2a98be812d844a6d6b/LICENSE); [source data](https://github.com/PolyAI-LDN/task-specific-datasets/tree/57ec275d8078af65b7731c2a98be812d844a6d6b/nlupp) |
+
+Changes in v2 include filtering, grouping and split isolation; assistant-reviewed intent descriptions and alias mapping; candidate sampling and paired target removal; restored available policy/context; and schema/metadata reformatting. Source utterances are retained. The MTOP/TOPv2 derived semantic data, including the adapted catalog, is distributed under CC BY-SA 4.0. Attribution does not imply upstream endorsement of this adaptation.
+
+The frozen `default` and retained legacy replay include Google Research SGD (CC BY-SA 4.0), Amazon MASSIVE (CC BY 4.0), Glaive v2 and NousResearch Hermes (Apache 2.0 as recorded in the original card), attributed Nemotron records, NL2Bash (consult its source terms), Git natural-language commands (consult its source terms), and maintainer DevOps templates (Apache 2.0). Their original links and notices remain in the [archived legacy data card](docs/legacy-data-card.md). The v2 release does not claim to resolve unspecified legacy-source terms. The four original data files are unchanged from `a84ea0337a424e287dc6f36f6b9fa320fb920fb0`.

README.md

@@ -3,6 +3,7 @@ language:
 - en
 license: other
 license_name: mixed-upstream-licenses
+license_link: https://huggingface.co/datasets/TypeScript/FastBrain-Instruct/blob/main/LICENSE.md
 task_categories:
 - text-classification
 - zero-shot-classification
@@ -11,15 +12,12 @@ task_ids:
 - multi-class-classification
 tags:
 - fastbrain
-- system-1
-- non-autoregressive
-- function-calling
 - tool-use
-- routing
+- function-calling
+- intent-classification
+- multi-label
 - synthetic
-- composite
-- aggregation
-- decontaminated
+- aggregated
 source_datasets:
 - glaiveai/glaive-function-calling-v2
 - NousResearch/hermes-function-calling-v1
@@ -29,134 +27,119 @@ source_datasets:
 - burak29/git-natural-language-commands
 - AmazonScience/massive
 - google-research-datasets/schema_guided_dstc8
+- WillHeld/mtop
+- WillHeld/top_v2
+- prem-research/Funcdex-MT-Function-Calling
 size_categories:
 - 100K<n<1M
 configs:
 - config_name: default
+  default: true
   data_files:
   - split: train
     path: train.parquet
   - split: test
     path: test.parquet
+- config_name: choice_v2
+  data_files:
+  - split: train
+    path: data/choice_v2/train.parquet
+  - split: validation
+    path: data/choice_v2/validation.parquet
+  - split: test
+    path: data/choice_v2/test.parquet
+- config_name: semantic_v2
+  data_files:
+  - split: train
+    path: data/semantic_v2/train.parquet
+  - split: validation
+    path: data/semantic_v2/validation.parquet
+  - split: test
+    path: data/semantic_v2/test.parquet
+- config_name: tool_context_v2
+  data_files:
+  - split: train
+    path: data/tool_context_v2/train.parquet
+  - split: validation
+    path: data/tool_context_v2/validation.parquet
+  - split: test
+    path: data/tool_context_v2/test.parquet
+- config_name: nlupp_hotels_v2
+  data_files:
+  - split: train
+    path: data/nlupp_hotels_v2/train.parquet
+  - split: validation
+    path: data/nlupp_hotels_v2/validation.parquet
+  - split: test
+    path: data/nlupp_hotels_v2/test.parquet
+- config_name: semantic_original_labels
+  data_files:
+  - split: train
+    path: data/semantic_original_labels/train.parquet
+  - split: validation
+    path: data/semantic_original_labels/validation.parquet
+  - split: test
+    path: data/semantic_original_labels/test.parquet
 ---
 
-# ⚡ FastBrain-Instruct: Aggregated Fine-Tuning Corpus for System 1 Decision Models
-
-[![Data Origin](https://img.shields.io/badge/Origin-Aggregated%20%26%20Reformatted-amber.svg)](#️-provenance-not-an-original-dataset)
-[![Samples](https://img.shields.io/badge/Samples-108%2C278-purple)](#-statistics)
-[![Decontaminated](https://img.shields.io/badge/Benchmark-Decontaminated-blue)](#-benchmark-exclusion--decontamination)
-
-> [!WARNING]
-> ### ⚠️ Provenance: not an original dataset
->
-> **FastBrain-Instruct is NOT written from scratch.** It aggregates existing open datasets, reformats them into one choice/routing schema, removes finance content, deduplicates, and decontaminates against public decision benchmarks. All query text and labels come from the upstream sources below (except 25 maintainer-written DevOps templates).
->
-> | Upstream source | Author | License | Rows (train / test) |
-> | :--- | :--- | :--- | ---: |
-> | [Schema-Guided Dialogue (SGD)](https://github.com/google-research-datasets/dstc8-schema-guided-dialogue) | Google Research (Rastogi et al., 2020) | CC BY-SA 4.0 | 34,455 / 3,889 |
-> | [Nemotron-SFT-Agentic-v2](https://huggingface.co/datasets/nvidia/Nemotron-SFT-Agentic-v2), via the `tool_selection` subset of [AgentToolDecisions-180K](https://huggingface.co/datasets/MaziyarPanahi/AgentToolDecisions-180K) | NVIDIA; transformed by Maziyar Panahi | CC BY 4.0 | 32,500 / 3,548 |
-> | [MASSIVE](https://huggingface.co/datasets/AmazonScience/massive) (en, via `mteb/amazon_massive_intent`) | Amazon Science (FitzGerald et al., 2022) | CC BY 4.0 | 14,264 / 1,531 |
-> | [Glaive Function Calling v2](https://huggingface.co/datasets/glaiveai/glaive-function-calling-v2) | Glaive AI | Apache 2.0 | 11,575 / 1,305 |
-> | [NL2Bash](https://huggingface.co/datasets/AnishJoshi/nl2bash-custom) | Lin et al., 2018 (HF mirror by AnishJoshi) | see source | 2,809 / 345 |
-> | [Hermes Function Calling v1](https://huggingface.co/datasets/NousResearch/hermes-function-calling-v1) | NousResearch | Apache 2.0 | 1,015 / 132 |
-> | [Git natural-language commands](https://huggingface.co/datasets/burak29/git-natural-language-commands) | burak29 | see source | 810 / 75 |
-> | DevOps / terminal templates | maintainer | Apache 2.0 | 22 / 3 |
->
-> Glaive v2 and Nemotron-SFT-Agentic-v2 are themselves synthetically generated. Users must comply with each upstream license; SGD is CC BY-SA 4.0 (share-alike).
+# FastBrain-Instruct
 
----
+FastBrain-Instruct aggregates public intent and tool-selection data for decision heads. The **2026-10-14 v2** release adds semantic boundary pairs, richer tool context and a separate multi-label task while preserving the original files.
 
-## 📌 What it is
+Load the integrated release explicitly:
 
-Each row is a single decision: given a `query` (a user request, or for agent rows the recent conversation) and a list of candidate `choices` (name + description), pick the correct `target`. The format targets non-autoregressive "System 1" decision heads (e.g., the `JointSchemaHead` design used by Cloudflare Clef / Clef-Flash) that score candidates in one forward pass.
+```python
+from datasets import load_dataset
 
-Two domains, balanced 50/50:
-- **`code_mechanical`** — tool / function selection (Glaive, Hermes), multi-tool agent next-tool selection (Nemotron), terminal utility selection (NL2Bash), git subcommand selection, DevOps templates.
-- **`daily_assistant`** — intent selection for voice-assistant and service dialogues (MASSIVE, SGD).
+ds = load_dataset("TypeScript/FastBrain-Instruct", "choice_v2")
+print(ds["train"][0])
+```
 
-No model trained on this dataset is released, and no benchmark results are claimed.
+## Configurations
 
-## 🚫 Benchmark exclusion & decontamination
+| Config | Train | Validation | Test | Use |
+|---|---:|---:|---:|---|
+| `default` | 97,450 | — | 10,828 | Frozen original release |
+| `choice_v2` | 116,440 | 8,206 | 24,639 | Integrated choice corpus: legacy replay + semantic pairs + tool context |
+| `semantic_v2` | 26,976 | 7,230 | 12,228 | MTOP/TOPv2 intent boundaries and paired candidate-relative no-match |
+| `tool_context_v2` | 26,241 | 976 | 1,583 | Funcdex and repaired Nemotron observed next-tool steps |
+| `nlupp_hotels_v2` | 765 | 97 | 98 | Original multi-label intent modules and slots; separate task format |
+| `semantic_original_labels` | 21,966 | 3,151 | 9,131 | Original labels for complex/ambiguous/unsupported/low-support cases; auxiliary only |
 
-This dataset is intended for training models that will be compared on the benchmarks used in the Cloudflare Clef / Jev Decision Index table. Therefore:
+`semantic_v2` and `tool_context_v2` are **overlapping views of `choice_v2`**, not additional examples to concatenate with it. `nlupp_hotels_v2` and `semantic_original_labels` use their own schemas. Calling `load_dataset("TypeScript/FastBrain-Instruct")` still loads `default`.
 
-1. **No benchmark is used as a source.** Excluded entirely: BFCL, ToolRet and all 35 of its source datasets (incl. APIGen/xLAM, ToolACE, ToolBench, Gorilla, MetaTool, API-Bank, …), API-Bank, When2Call (and derived data such as the When2Call part of AgentToolDecisions), BANKING77, CLINC150, BRIGHT, Amazon ESCI, PhishNChips.
-2. **Text-level decontamination.** Every query (for agent rows: every user message) was checked against the texts of BFCL v3, ToolRet-Queries (35 subsets), When2Call (all files), API-Bank (all files), BANKING77 and CLINC150 (all configs). A row is removed on a normalized exact match **or** any shared 10-word n-gram. 2,674 rows were removed this way (e.g., Glaive: 899 ToolRet, 470 BFCL, 333 When2Call matches; SGD: 420 BFCL matches; MASSIVE: 212 CLINC150 matches).
+The original `train.parquet`, `test.parquet`, `train.jsonl` and `test.jsonl` remain unchanged from [the frozen baseline](https://huggingface.co/datasets/TypeScript/FastBrain-Instruct/tree/a84ea0337a424e287dc6f36f6b9fa320fb920fb0). All 10,828 original test rows also appear in `choice_v2/test` with their original seven core fields intact. The original data card is [archived here](docs/legacy-data-card.md); its historical claims should be read together with the new audit below.
 
-Not checked at text level: Home appliances (no public copy found), BRIGHT, Amazon ESCI, PhishNChips (different domains from all sources used).
+## What changed
 
-## 🔧 Processing
+| Main training component | Rows |
+|---|---:|
+| Retained legacy replay | 63,223 |
+| MTOP/TOPv2 semantic pairs | 26,976 |
+| Funcdex | 4,010 |
+| Repaired Nemotron | 22,231 |
 
-1. **Extraction**
-   - Glaive v2: all 112,960 rows scanned; the user turn right before the first `<functioncall>` is the query; candidates are the tools listed in that sample's system prompt.
-   - Hermes v1: first human turn; candidates are that sample's tools.
-   - Nemotron agentic: conversation rendered as `role: content` lines (last 1,500 chars); candidates are all tools available to the agent (5–30).
-   - NL2Bash: only single, non-compound commands (no pipes, `;`, `&&`, substitutions, loops); target is the utility name; `find` capped at 1,500 rows.
-   - SGD: user turns where a service's active intent changes; candidates are the intents of that service plus intents from other services, with SGD's own intent descriptions.
-   - MASSIVE: all splits; description generated from the label name.
-2. **Candidates**: at least 5 per row; when a sample has fewer own candidates, random distractors from the same source are added, excluding names that heavily overlap with the target (token Jaccard ≥ 0.5).
-3. **Finance removal**: MASSIVE `qa_currency`, `qa_stock`; SGD `Banks_*` and `Payment_*` services.
-4. **Deduplication**: normalized exact `query` duplicates removed; queries with conflicting labels dropped (1,410).
-5. **Balancing**: the larger domain is downsampled (largest source first) to match the smaller one.
-6. **Split**: random 90/10 over unique queries; no `query` appears in both splits.
+- **Semantic coverage:** 68 retained intent classes after alias consolidation, split/template isolation, label screening and a minimum of 20 independent training requests per class. Each selected request has one positive and one answer-removed no-match example. Candidate budgets target 16/32/64 ordinary operations and shrink when conflict exclusions require it; `__no_match__` is counted separately. This release does not provide a 151- or 256-intent natural-language catalog.
+- **Tool context:** preserve the full available pre-answer prefix for Funcdex; restore Nemotron system policy and exclude steps with known missing earlier history or non-system truncation. Tools remain **observed expert-action labels**; schema validity and context recovery do not establish that every other tool is invalid. No text-only/no-call record is relabeled as no-match.
+- **Holdout isolation:** the audit identified 2,687 raw Nemotron conversations shared by the original train and test sets. The v2 rebuild blocks 3,286 historical held-out parents before extracting training steps. The frozen `default` retains its historical split limitations.
+- **Multi-label preservation:** NLU++ hotels keeps all annotated intent modules and slots. Only 576 of its 765 train rows are eligible for intent training; empty-intent context fragments have `use_for_intent_training=false` and no fabricated negative labels.
 
-## 📊 Statistics
+## Record format
 
-| | Train | Test | Total |
-| :--- | ---: | ---: | ---: |
-| **Rows** | **97,450** | **10,828** | **108,278** |
-| `code_mechanical` | — | — | 54,139 (50%) |
-| `daily_assistant` | — | — | 54,139 (50%) |
-| Choices per row | 5–30 (median 5) | | |
-| Distinct targets | | | 5,681 |
+Choice configs retain `id`, `domain`, `category`, `query`, `target`, `choices` (a list of name/description objects), and `source`. Added fields record `parent_id`, `source_family`, `source_repo`, `source_revision`, `source_split`, `source_row_id`, `task_type`, `label_status`, `is_rejection`, `candidate_count`, `catalog_id`, `provenance_json`, `context_json`, and `tools_json`.
 
-## ⚠️ Limitations
+`provenance_json` contains the source file and row, construction method, group, and applicable license for new rows. For tool records, `query` renders the structured `context_json`. Funcdex retains full original schemas in `tools_json`; Nemotron retains only names, descriptions and required-parameter names because the intermediate source discarded the rest.
 
-- **Easy distractors in some sources**: Glaive and NL2Bash rows usually have only one "own" candidate, so the other 4 are random and often unrelated.
-- **Near-duplicates remain**: templated queries (Glaive, SGD) differing only in entities are kept; only exact duplicates were removed.
-- **Weak descriptions**: MASSIVE descriptions are generated from label names (e.g., "User intention to play music"); Nemotron tool descriptions are kept as-is.
-- **NL2Bash skew**: `find` dominates the terminal subset even after capping.
-- **Decontamination is lexical**: paraphrased benchmark items would not be caught.
+NLU++ uses `text`, `intents`, `slots_json`, source/fold identifiers, `use_for_intent_training`, `head_questions_json` and `head_expected_json`. The optional head fields contain 40 independent boolean module questions. Filter on `use_for_intent_training` before intent training. Auxiliary semantic rows retain source labels and parse trees and explicitly set `use_for_single_choice=false`.
 
----
+## Curation and use
 
-## 🛠️ Quickstart
+[Curation recipe and split policy](docs/curation-v2.md) · [Source revisions and file hashes](audit/source_manifest.json) · [Dataset counts and hashes](audit/release_summary.json) · [Validation report](audit/validation.json) · [Semantic catalog](catalogs/semantic_v2.json) · [Source exclusions](curation/excluded_source_families.json)
 
-```python
-from datasets import load_dataset
+Use `source`, `source_family`, `task_type` and `provenance_json.group` to make explicit ablations. The paired semantic data has an artificial 1:1 present/absent ratio within that view; this is not a deployment class prior. The release does not establish model improvement or preservation of an existing head's capabilities; those require training and evaluation.
 
-ds = load_dataset("TypeScript/FastBrain-Instruct")
-print(ds["train"][0])
-```
+The source-family exclusions from the original corpus are retained. Additional lexical checks use the exact cached files recorded in the exclusion manifest. They do not certify absence of paraphrases or unobserved source ancestry. Curation uses assistant ontology review, deterministic rules and targeted training-example inspection, **not exhaustive human annotation**. Ambiguous single-choice cases are retained only in the explicitly auxiliary view when possible.
 
-| Field | Type | Description |
-| :--- | :--- | :--- |
-| `id` | string | Row id |
-| `domain` | string | `code_mechanical` or `daily_assistant` |
-| `category` | string | e.g. `api_tool_routing`, `agent_tool_selection`, `terminal_command`, `service_dialogue` |
-| `query` | string | User request (or rendered recent conversation for agent rows) |
-| `target` | string | Correct choice name |
-| `choices` | list of `{name, description}` | Candidates, including `target` |
-| `source` | string | Upstream source |
-
-## ⚖️ Upstream Attribution
-
-- **Google Research** — Schema-Guided Dialogue (Rastogi et al., AAAI 2020), CC BY-SA 4.0.
-- **NVIDIA** — Nemotron-SFT-Agentic-v2, CC BY 4.0; decision-format transformation by **Maziyar Panahi** (AgentToolDecisions-180K).
-- **Amazon Science** — MASSIVE (FitzGerald et al., 2022), CC BY 4.0.
-- **Glaive AI** — Glaive Function Calling v2.
-- **NousResearch** — Hermes Function Calling v1.
-- **Lin et al.** — NL2Bash (LREC 2018).
-- **burak29** — Git natural-language commands.
-
-## 📜 Citation
-
-```bibtex
-@dataset{fastbrain_instruct_2026,
-  author = {TypeScript},
-  title = {FastBrain-Instruct: Aggregated Fine-Tuning Corpus for System 1 Decision Models},
-  year = {2026},
-  publisher = {Hugging Face},
-  howpublished = {https://huggingface.co/datasets/TypeScript/FastBrain-Instruct}
-}
-```
+## Attribution and licenses
+
+This is an aggregation and adaptation of upstream data. MTOP and TOPv2 are **CC BY-SA 4.0**; NLU++ and the attributed Nemotron component are **CC BY 4.0**; Funcdex declares **MIT**. Legacy records retain their original source terms, including SGD's CC BY-SA 4.0. The collection is not licensed uniformly as MIT. See [license and attribution notices](LICENSE.md), the pinned source manifest and the archived legacy card.

audit/artifact_manifest.json

@@ -0,0 +1,231 @@
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+}

audit/funcdex.json

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audit/legacy_replay.json

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+}

audit/loading_validation.json

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audit/nemotron.json

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audit/nemotron_context_repair_summary.json

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+        [
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+          "role"
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+}

audit/nlupp_hotels.json

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+  "seed": 20261014,
+  "python": "3.12.3",
+  "packages": {
+    "pyarrow": "26.0.0",
+    "datasets": "4.8.5",
+    "huggingface_hub": "1.33.0",
+    "jsonschema": "4.26.0",
+    "PyYAML": "6.0.3"
+  },
+  "exclusion_inputs": "audit/exclusion_manifest.json",
+  "exclusion_family_policy": "curation/excluded_source_families.json",
+  "license_files": [
+    {
+      "file": "licenses/MTOP-CC-BY-SA-4.0.txt",
+      "sha256": "3b2890eacd851373001c4a14623458e3adaf1b1967939aa9c38a318e28d61c00"
+    },
+    {
+      "file": "licenses/TOPv2-CC-BY-SA-4.0.txt",
+      "sha256": "3b2890eacd851373001c4a14623458e3adaf1b1967939aa9c38a318e28d61c00"
+    },
+    {
+      "file": "licenses/CC-BY-4.0.txt",
+      "sha256": "7e7170e3cebf88a9f60c7b8421418323c09304da1af4d5e90f4da1dc1c8a2661"
+    },
+    {
+      "file": "licenses/Funcdex-MIT.txt",
+      "sha256": "37f8608bdbc342d51052582f5606da78bb6a543e7191e3b8a5bb32a26dcb87ff"
+    }
+  ],
+  "annotation": {
+    "description_editor": "assistant",
+    "exhaustive_human_annotation": false,
+    "source_utterances_rewritten": false
+  },
+  "input_hash_scope": "Exact acquired public source files. The full NVIDIA raw JSONL was not downloaded; its fixed revision and partition are preserved in per-row lineage."
+}

audit/validation.json

@@ -0,0 +1,119 @@
+{
+  "status": "pass",
+  "passed": {
+    "input_sha256": 42,
+    "legacy_bytes_unchanged": 2,
+    "release_sha256": 15,
+    "row_count": 15,
+    "unique_id_within_split": 15,
+    "choice_v2_split_ids": 3,
+    "choice_v2_split_parents": 3,
+    "choice_v2_split_normalized_queries": 3,
+    "semantic_v2_split_ids": 3,
+    "semantic_v2_split_parents": 3,
+    "semantic_v2_split_normalized_queries": 3,
+    "tool_context_v2_split_ids": 3,
+    "tool_context_v2_split_parents": 3,
+    "tool_context_v2_split_normalized_queries": 3,
+    "nlupp_hotels_v2_split_ids": 3,
+    "nlupp_hotels_v2_split_parents": 3,
+    "nlupp_hotels_v2_split_normalized_queries": 3,
+    "semantic_original_labels_split_ids": 3,
+    "semantic_original_labels_split_parents": 3,
+    "semantic_original_labels_split_normalized_queries": 3,
+    "choice_schema": 3,
+    "nonempty_query": 149285,
+    "unique_candidates_and_target": 149285,
+    "candidate_count": 149285,
+    "source_allowlist": 149285,
+    "pinned_source_revision": 149285,
+    "source_and_parent_ids": 149285,
+    "legacy_core_fields_preserved": 74051,
+    "no_cropped_nemotron_train": 63223,
+    "train_exclusion_index": 63223,
+    "new_source_group": 75234,
+    "all_legacy_test_preserved": 3,
+    "overlapping_view_identity": 75234,
+    "disjoint_semantic_tool_views": 75234,
+    "combined_view_partition": 3,
+    "semantic_source_lineage": 46434,
+    "semantic_native_split_preserved": 46434,
+    "semantic_supported_catalog": 46434,
+    "semantic_quality_regressions": 46434,
+    "semantic_template_lineage": 46434,
+    "rejection_flag": 46434,
+    "rejection_candidate_separate_count": 46434,
+    "candidate_catalog_identity": 1725338,
+    "conflicting_candidates_excluded": 46434,
+    "symmetric_conflict_and_catalog_provenance": 46434,
+    "new_semantic_exclusion_index": 46434,
+    "complete_positive_negative_pair": 23217,
+    "pair_query_and_size": 23217,
+    "pair_target_removed_and_replaced": 23217,
+    "pair_label_provenance": 23217,
+    "auxiliary_not_false_no_match": 34248,
+    "auxiliary_exclusion_index": 34248,
+    "semantic_entire_family_split_queries": 3,
+    "semantic_entire_family_split_templates": 3,
+    "rendered_context_identity": 28800,
+    "observed_tools_not_none": 28800,
+    "observed_action_quality_flag": 28800,
+    "tool_user_turn_exclusion_index": 29880,
+    "nemotron_no_discarded_mid_dialogue_system_messages": 23275,
+    "nemotron_policy_and_prefix_recovered": 23275,
+    "nemotron_retained_schema_identity": 23275,
+    "nemotron_upstream_split_and_label": 23275,
+    "nemotron_historical_parent_isolation": 23275,
+    "nemotron_no_known_unrecoverable_context": 23275,
+    "nemotron_audited_subsource_only": 23275,
+    "nemotron_finance_domain_excluded": 23275,
+    "funcdex_complete_prefix_no_current_answer": 5525,
+    "funcdex_full_schema_preserved": 5525,
+    "funcdex_observed_target_and_arguments": 5525,
+    "funcdex_native_test_preserved": 5525,
+    "funcdex_finance_excluded": 750,
+    "funcdex_reviewed_conversation_excluded": 750,
+    "funcdex_scaffold_regressions": 1500,
+    "funcdex_arguments_schema_valid": 5525,
+    "nlupp_original_multilabel_and_slots": 960,
+    "nlupp_fold_isolation": 960,
+    "nlupp_boolean_module_coverage": 717,
+    "nlupp_boolean_gold": 717,
+    "nlupp_exclusion_index": 960,
+    "nlupp_empty_context_not_negative": 243,
+    "nlupp_split_templates": 3,
+    "all_new_language_families_split_queries": 3
+  },
+  "failed": {},
+  "failure_examples": [],
+  "total_checks": 4010768,
+  "validation_scope": "All released records: structure, source lineage, split contracts, paired construction and recorded lexical exclusion index. Semantic correctness is not exhaustively adjudicated.",
+  "legacy_default_split_leakage_is_documented_not_repaired": true,
+  "configurations": {
+    "choice_v2": {
+      "train": 116440,
+      "validation": 8206,
+      "test": 24639
+    },
+    "semantic_v2": {
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+      "validation": 7230,
+      "test": 12228
+    },
+    "tool_context_v2": {
+      "train": 26241,
+      "validation": 976,
+      "test": 1583
+    },
+    "nlupp_hotels_v2": {
+      "test": 98,
+      "validation": 97,
+      "train": 765
+    },
+    "semantic_original_labels": {
+      "train": 21966,
+      "validation": 3151,
+      "test": 9131
+    }
+  }
+}

catalogs/nlupp_hotels_modules.json

@@ -0,0 +1,243 @@
+{
+  "accesibility": {
+    "description": "is the intent to ask something related to accessibility?",
+    "domain": [
+      "hotels"
+    ]
+  },
+  "acknowledge": {
+    "description": "is the intent to acknowledge what was said?",
+    "domain": [
+      "general"
+    ]
+  },
+  "affirm": {
+    "description": "is the intent to affirm something?",
+    "domain": [
+      "general"
+    ]
+  },
+  "booking": {
+    "description": "is the intent to talk about some booking?",
+    "domain": [
+      "hotels"
+    ]
+  },
+  "cancel_close_leave_freeze": {
+    "description": "is the intent asking about canceling or closing something?",
+    "domain": [
+      "general"
+    ]
+  },
+  "change": {
+    "description": "is the intent to change or modify something?",
+    "domain": [
+      "general"
+    ]
+  },
+  "check_in": {
+    "description": "is the intent to ask about check in?",
+    "domain": [
+      "hotels"
+    ]
+  },
+  "check_out": {
+    "description": "is the intent to ask about check out?",
+    "domain": [
+      "hotels"
+    ]
+  },
+  "deny": {
+    "description": "is the intent to deny something?",
+    "domain": [
+      "general"
+    ]
+  },
+  "dont_know": {
+    "description": "is the intent to say I don’t know?",
+    "domain": [
+      "general"
+    ]
+  },
+  "end_call": {
+    "description": "is the intent to end call or say goodbye?",
+    "domain": [
+      "general"
+    ]
+  },
+  "existing": {
+    "description": "is the intent asking about something that already exists?",
+    "domain": [
+      "general"
+    ]
+  },
+  "greet": {
+    "description": "is the intent to greet someone?",
+    "domain": [
+      "general"
+    ]
+  },
+  "gym": {
+    "description": "is the intent to ask something related to gym?",
+    "domain": [
+      "hotels"
+    ]
+  },
+  "handoff": {
+    "description": "is the intent to speak to a human or hand off?",
+    "domain": [
+      "general"
+    ]
+  },
+  "housekeeping": {
+    "description": "is the intent to talk about housekeeping issues?",
+    "domain": [
+      "hotels"
+    ]
+  },
+  "how": {
+    "description": "is the intent asking how to do something?",
+    "domain": [
+      "general"
+    ]
+  },
+  "how_long": {
+    "description": "is the intent asking about how long something takes?",
+    "domain": [
+      "general"
+    ]
+  },
+  "how_much": {
+    "description": "is the intent asking about some quantity or how much?",
+    "domain": [
+      "general"
+    ]
+  },
+  "less_lower_before": {
+    "description": "is the intent to indicate something less, lower, before or decreasing?",
+    "domain": [
+      "general"
+    ]
+  },
+  "limits": {
+    "description": "is the intent asking about some sort of limit?",
+    "domain": [
+      "general"
+    ]
+  },
+  "lost_stolen": {
+    "description": "is the intent asking about something being lost or stolen?",
+    "domain": [
+      "general"
+    ]
+  },
+  "make_open_apply_setup_get_activate": {
+    "description": "is the intent to make, open, apply, set up or activate something?",
+    "domain": [
+      "general"
+    ]
+  },
+  "more_higher_after": {
+    "description": "is the intent to indicate something more, higher, after or increasing?",
+    "domain": [
+      "general"
+    ]
+  },
+  "new": {
+    "description": "is the intent asking about something new?",
+    "domain": [
+      "general"
+    ]
+  },
+  "parking": {
+    "description": "is the intent to ask something related to parking?",
+    "domain": [
+      "hotels"
+    ]
+  },
+  "pets": {
+    "description": "is the intent to ask something related to pets?",
+    "domain": [
+      "hotels"
+    ]
+  },
+  "refund": {
+    "description": "is the intent to ask about some refund?",
+    "domain": [
+      "banking",
+      "hotels"
+    ]
+  },
+  "repeat": {
+    "description": "is the intent asking to repeat the previous sentence?",
+    "domain": [
+      "general"
+    ]
+  },
+  "request_info": {
+    "description": "is the intent to ask or request some information?",
+    "domain": [
+      "general"
+    ]
+  },
+  "restaurant": {
+    "description": "is the intent to ask something related to restaurant?",
+    "domain": [
+      "hotels"
+    ]
+  },
+  "room_ammenities": {
+    "description": "is the intent to ask something related to some room amenities?",
+    "domain": [
+      "hotels"
+    ]
+  },
+  "room_service": {
+    "description": "is the intent to talk about room service?",
+    "domain": [
+      "hotels"
+    ]
+  },
+  "spa": {
+    "description": "is the intent to ask something related to spa or beauty services?",
+    "domain": [
+      "hotels"
+    ]
+  },
+  "swimming_pool": {
+    "description": "is the intent to ask something related to the swimming pool?",
+    "domain": [
+      "hotels"
+    ]
+  },
+  "thank": {
+    "description": "is the intent to thank someone?",
+    "domain": [
+      "general"
+    ]
+  },
+  "when": {
+    "description": "is the intent to ask about when or what time something happens?",
+    "domain": [
+      "general"
+    ]
+  },
+  "why": {
+    "description": "is the intent to ask why something happened or needs to be done?",
+    "domain": [
+      "general"
+    ]
+  },
+  "wifi": {
+    "description": "is the intent to ask something related to wifi or wireless?",
+    "domain": [
+      "hotels"
+    ]
+  },
+  "wrong_notworking_notshowing": {
+    "description": "is the intent asking about something wrong, missing or not working?",
+    "domain": [
+      "general"
+    ]
+  }
+}

curation/excluded_source_families.json

@@ -0,0 +1,62 @@
+{
+  "source_document": "https://huggingface.co/datasets/TypeScript/FastBrain-Instruct/blob/a84ea0337a424e287dc6f36f6b9fa320fb920fb0/README.md",
+  "entire_toolret_source_exclusion": [
+    "apibank",
+    "apigen",
+    "appbench",
+    "autotools-food",
+    "autotools-music",
+    "autotools-weather",
+    "craft-math-algebra",
+    "craft-tabmwp",
+    "craft-vqa",
+    "gorilla-huggingface",
+    "gorilla-pytorch",
+    "gorilla-tensor",
+    "gpt4tools",
+    "gta",
+    "metatool",
+    "mnms",
+    "restgpt-spotify",
+    "restgpt-tmdb",
+    "reversechain",
+    "rotbench",
+    "t-eval-dialog",
+    "t-eval-step",
+    "taskbench-daily",
+    "taskbench-huggingface",
+    "taskbench-multimedia",
+    "tool-be-honest",
+    "toolace",
+    "toolalpaca",
+    "toolbench",
+    "toolbench-sam",
+    "toolemu",
+    "tooleyes",
+    "toolink",
+    "toollens",
+    "ultratool"
+  ],
+  "finance_removed_from_canonical": {
+    "MASSIVE": [
+      "qa_currency",
+      "qa_stock"
+    ],
+    "SGD": [
+      "Banks_*",
+      "Payment_*"
+    ]
+  },
+  "v2_additions": {
+    "excluded_derivatives": [
+      "When2Call-derived rows",
+      "ToolACE/APIGen/xLAM rewrites and mixtures"
+    ],
+    "included_nemotron_partition": "default/interactive_agent only; not the full tool_calling collection",
+    "finance": [
+      "NLU++ banking excluded",
+      "Funcdex toolkits containing Stripe excluded",
+      "Nemotron financial-domain filter"
+    ]
+  }
+}

curation/exclusion_10grams.bin

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+size 4096136

curation/exclusion_exact.bin

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+oid sha256:af41710b35e4481f003eacceb9ea33936c65c6dcbd2dc89f8a83213165c3da81
+size 904944

curation/nemotron_canonical_lineage.jsonl.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b4fc121a20fe2951e0a2e93f7e245a7ce3401544eff7ec0386bdf99e418b8120
+size 1063428

curation/quality_overrides.json

@@ -0,0 +1,107 @@
+{
+  "version": "2026-10-14-train-sample-review-1",
+  "reviewer": "assistant",
+  "review_scope": "Targeted review of source-training examples; not a random-sample error-rate estimate or human annotation. Rules are frozen before release validation and applied equally to all splits.",
+  "semantic_rules": [
+    {
+      "id": "review_music_feedback_not_other_action",
+      "canonical_ids": ["LIKE_MUSIC", "DISLIKE_MUSIC"],
+      "quarantine_if_regex_any": ["\\b(?:add|save|download|turn|repeat|replay|skip|recommend|find)\\b", "\\b(?:library|volume|louder|quieter)\\b"],
+      "reason": "Preference words do not make an independent playback, collection, or volume request into a unique feedback label."
+    },
+    {
+      "id": "review_music_like_requires_feedback",
+      "canonical_ids": ["LIKE_MUSIC"],
+      "require_any_regex": ["\\b(?:like|love)\\b", "\\b(?:thumbs?|thumps?)\\s+up\\b"],
+      "quarantine_if_regex_any": ["\\b(?:play|please)\\s+(?:the\\s+)?music\\s+(?:that\\s+)?[Ii]\\s+like\\b"],
+      "reason": "A source LIKE label without identifiable positive preference feedback is not sufficient for the single-choice adaptation."
+    },
+    {
+      "id": "review_previous_not_repeat_or_information",
+      "canonical_ids": ["PREVIOUS_TRACK_MUSIC"],
+      "quarantine_if_regex_any": ["\\b(?:repeat|replay|again|loop|resume|name|what|which|find)\\b", "\\btell\\s+me\\b"],
+      "reason": "Previous-item navigation is not the same as repetition, resumption, or asking about the previous item."
+    },
+    {
+      "id": "review_cancel_message_requires_message_object",
+      "canonical_ids": ["CANCEL_MESSAGE"],
+      "require_any_regex": ["\\b(?:message|text|sending|draft|composition|composing|send)\\b"],
+      "reason": "Bare quit/stop messaging can disable a modality; the record needs a message or sending/composition object."
+    },
+    {
+      "id": "review_cancel_message_not_delete_sent_message",
+      "canonical_ids": ["CANCEL_MESSAGE"],
+      "quarantine_if_regex_any": ["\\b(?:delete|erase|remove)\\b"],
+      "unless_any_regex": ["\\b(?:draft|pending|unsent|composing|composition)\\b"],
+      "reason": "Deleting a saved or sent message is not established to be cancelling a pending message."
+    },
+    {
+      "id": "review_call_participant_requires_call_context",
+      "canonical_ids": ["UPDATE_CALL"],
+      "require_any_regex": ["\\b(?:call|conference|participant)\\b"],
+      "reason": "Add/invite a named person without call context is also compatible with other applications."
+    },
+    {
+      "id": "review_call_mode_requires_mode_change",
+      "canonical_ids": ["UPDATE_METHOD_CALL"],
+      "require_any_regex": ["\\b(?:switch|change|convert|mode)\\b", "\\bfrom\\b.{0,60}\\bto\\b", "\\b(?:make|add|enable|disable)\\b.{0,60}\\b(?:this|current|existing)\\b.{0,30}\\bcall\\b", "\\b(?:this|current|existing)\\b.{0,30}\\bcall\\b.{0,40}\\b(?:audio|video|screen)\\b"],
+      "reason": "A bare video-calling-on/off request does not establish modification of an existing call."
+    },
+    {
+      "id": "review_answer_call_not_persistent_plural_rule",
+      "canonical_ids": ["ANSWER_CALL"],
+      "quarantine_if_regex_any": ["\\bcalls\\b"],
+      "reason": "A rule for accepting future/plural calls is not a unique action to answer a currently incoming call."
+    },
+    {
+      "id": "review_traffic_requires_traffic_evidence",
+      "canonical_ids": ["GET_INFO_TRAFFIC"],
+      "require_any_regex": ["\\b(?:traffic|congestion|congested|jam|jams|backed\\s+up)\\b", "\\b(?:road|route|highway)\\b.{0,25}\\b(?:delay|delays)\\b"],
+      "reason": "How-is-a-road without traffic evidence can ask about location, surface condition, or other information."
+    },
+    {
+      "id": "review_route_update_requires_alternative_or_change",
+      "canonical_ids": ["UPDATE_DIRECTIONS"],
+      "require_any_regex": ["\\b(?:modify|change|update|reroute|re-route|alternate|alternative|another|other|different|current|instead|detour)\\b", "\\bthis\\s+route\\b"],
+      "reason": "Finding an initial low-traffic route does not establish an update to an existing route."
+    },
+    {
+      "id": "review_arrival_not_ambiguous_duration",
+      "canonical_ids": ["GET_ESTIMATED_ARRIVAL"],
+      "require_any_regex": ["\\b(?:when|what time|eta|arrival|arrive|late|before|by|after)\\b"],
+      "quarantine_if_regex_any": ["\\bhow\\s+(?:long|many\\s+(?:minutes|hours))\\b", "\\b(?:duration|projected time to get)\\b"],
+      "reason": "Arrival-clock-time and travel-duration questions must remain distinguishable."
+    }
+  ],
+  "description_overrides": {
+    "GET_EDUCATION_TIME": "Query when, or for how long, a person studied or attended school, including enrollment and graduation times."
+  },
+  "funcdex_conversation_quarantine": [
+    {
+      "source_split": "train",
+      "file_row": 0,
+      "reason": "review_policy_prerequisites_missing",
+      "evidence": "Source policy requires a drive description, owner and initial members before creation; the prefix supplies only name/requestId. Schema validity alone does not satisfy the policy."
+    },
+    {
+      "source_split": "train",
+      "file_row": 1238,
+      "reason": "review_invented_tool_result_and_role_confusion",
+      "evidence": "Role-confused opening and assistant text '(Assuming the data was read from the sheet.)'; trajectory also violates source ordering instructions."
+    }
+  ],
+  "funcdex_rules": [
+    {
+      "id": "review_synthetic_no_input_scaffold",
+      "role": "user",
+      "regex": "^\\s*\\(?no\\s+(?:further|additional)\\s+input\\)?[.!]?\\s*$",
+      "reason": "Synthetic scaffolding is not an observed natural user interaction; quarantine the whole conversation."
+    },
+    {
+      "id": "review_assumed_unobserved_tool_result",
+      "role": "assistant",
+      "regex": "\\bassuming\\s+(?:that\\s+)?(?:the\\s+)?(?:data|results?)\\s+(?:was|were)\\s+(?:read|retrieved|fetched)\\b",
+      "reason": "The assistant claims an assumed result instead of grounding it in an observed tool response."
+    }
+  ]
+}

curation/semantic_query_screening_rules.json

@@ -0,0 +1,209 @@
+{
+  "schema_version": 1,
+  "status": "assistant_proposed_conservative_quarantine_rules_not_label_correctness_certification",
+  "regex_engine": "Python re with re.IGNORECASE; normalized whitespace input recommended",
+  "evaluation": "For each rule whose canonical_ids contains the record's canonical_id, or equals ['*']: quarantine if any quarantine_if_regex_any matches OR require_any_regex is present and none matches. An unless_any_regex match cancels only that rule. Union all quarantine decisions. Empty/missing arrays do not trigger. Keep source labels unchanged; do not use these rules to relabel examples or create NO_MATCH.",
+  "scope": "Rules target unsupported uniqueness in the single-choice adaptation. Quarantined records may remain in an original-label auxiliary config.",
+  "rules": [
+    {
+      "id": "contextless_short_request",
+      "canonical_ids": ["*"],
+      "quarantine_if_regex_any": ["^\\s*(?:please\\s+)?(?:stop|pause|resume|continue|cancel|delete|remove|quit|reset|restart|start|play|do|set)(?:\\s+(?:it|that|this|now|please)){0,3}[.!?]*\\s*$", "^\\s*(?:how much longer|how long|what time|turn it off|shut it off|quit it)[.!?]*\\s*$"],
+      "reason": "Standalone query lacks the object or state required to distinguish operations.",
+      "examples": ["how much longer", "Quit it", "stop it"]
+    },
+    {
+      "id": "alarm_off_phase_ambiguous",
+      "canonical_ids": ["DELETE_ALARM", "SILENCE_ALARM"],
+      "quarantine_if_regex_any": ["\\b(?:turn|switch|shut)\\b.{0,35}\\boff\\b", "^\\s*(?:please\\s+)?(?:stop|cancel)\\s+(?:(?:my|the|this|current|next)\\s+)?alarm(?:s)?(?:\\s+please)?[.!?]*\\s*$"],
+      "unless_any_regex": ["\\b(?:ringing|buzzing|sounding|dismiss|silence)\\b", "\\b(?:delete|erase|remove|schedule|scheduled|tomorrow|tonight|monday|tuesday|wednesday|thursday|friday|saturday|sunday)\\b"],
+      "reason": "Off/stop/cancel can remove a schedule or merely dismiss ringing; retain only with discriminating phase/schedule evidence.",
+      "examples": ["Turn off my alarm", "cancel my alarm"]
+    },
+    {
+      "id": "silence_alarm_needs_ringing_action",
+      "canonical_ids": ["SILENCE_ALARM"],
+      "require_any_regex": ["\\b(?:ringing|buzzing|sounding|dismiss|silence|quiet)\\b"],
+      "reason": "The single-choice definition is dismissing active ringing, so a bare scheduled-alarm cancellation is insufficient.",
+      "examples": ["Reset all previous alarms", "Cancel the next alarm"]
+    },
+    {
+      "id": "delete_alarm_not_pause_or_snooze",
+      "canonical_ids": ["DELETE_ALARM"],
+      "quarantine_if_regex_any": ["\\b(?:snooze|pause|silence|dismiss)\\b"],
+      "reason": "These source phrases express a distinct alarm operation from deleting its schedule.",
+      "examples": ["dismiss my alarm"]
+    },
+    {
+      "id": "pause_timer_requires_pause_semantics",
+      "canonical_ids": ["PAUSE_TIMER"],
+      "require_any_regex": ["\\bpause\\b", "\\bon hold\\b", "\\btemporar(?:y|ily)\\b"],
+      "reason": "A bare stop/end/mute does not establish preservation of timer progress.",
+      "examples": ["Stop my timer alarm", "mute the countdown please"]
+    },
+    {
+      "id": "delete_timer_requires_deletion_semantics",
+      "canonical_ids": ["DELETE_TIMER"],
+      "require_any_regex": ["\\b(?:delete|remove|erase|clear|cancel)\\b"],
+      "quarantine_if_regex_any": ["\\b(?:pause|resume|snooze|hold)\\b"],
+      "reason": "Do not infer deletion from a generic stop/end request.",
+      "examples": ["end my timer", "stop the timer"]
+    },
+    {
+      "id": "restart_timer_requires_start_over",
+      "canonical_ids": ["RESTART_TIMER"],
+      "require_any_regex": ["\\brestart\\b", "\\bstart\\s+(?:it\\s+|the timer\\s+|my timer\\s+)?over\\b", "\\bbegin\\s+again\\b", "\\bfrom\\s+(?:the\\s+)?(?:start|beginning)\\b"],
+      "reason": "Reset may instead mean changing the timer's duration; demand explicit start-over language.",
+      "examples": ["reset the timer"]
+    },
+    {
+      "id": "resume_timer_requires_continue",
+      "canonical_ids": ["RESUME_TIMER"],
+      "require_any_regex": ["\\b(?:resume|continue|unpause)\\b", "\\bcarry\\s+on\\b"],
+      "reason": "Refresh/restart lacks a clear distinction from starting over.",
+      "examples": ["refresh my timer"]
+    },
+    {
+      "id": "timer_absolute_update_not_relative_delta",
+      "canonical_ids": ["UPDATE_TIMER"],
+      "quarantine_if_regex_any": ["\\b(?:add|subtract|increase|decrease|extend|shorten)\\b", "\\b(?:more|less|extra|additional)\\s+(?:seconds?|minutes?|hours?)\\b"],
+      "require_any_regex": ["\\b(?:to|for)\\s+.{0,30}\\b(?:second|minute|hour)s?\\b", "\\b(?:duration|length)\\b"],
+      "reason": "The update candidate is restricted to an absolute new duration, while relative deltas have ADD/SUBTRACT classes.",
+      "examples": ["fix my timer", "add five minutes to my timer"]
+    },
+    {
+      "id": "timer_delta_needs_direction",
+      "canonical_ids": ["ADD_TIME_TIMER"],
+      "require_any_regex": ["\\b(?:add|increase|extend|more|extra|additional|longer)\\b"],
+      "reason": "A new timer request without a relative increase is not an ADD operation.",
+      "examples": ["timer for fifteen minutes"]
+    },
+    {
+      "id": "timer_subtraction_needs_direction",
+      "canonical_ids": ["SUBTRACT_TIME_TIMER"],
+      "require_any_regex": ["\\b(?:subtract|remove|decrease|reduce|less|shorten)\\b", "\\btake\\b.{0,30}\\boff\\b"],
+      "reason": "Require an explicit relative reduction.",
+      "examples": ["set my timer to five minutes"]
+    },
+    {
+      "id": "music_add_requires_playlist_object",
+      "canonical_ids": ["ADD_TO_PLAYLIST_MUSIC"],
+      "require_any_regex": ["\\b(?:playlist|play\\s+list|queue|collection)\\b"],
+      "reason": "Add to favorites without a playlist can mean liking rather than modifying a collection.",
+      "examples": ["Add song to favorites", "Add to Pandora"]
+    },
+    {
+      "id": "music_add_to_new_playlist_multiaction",
+      "canonical_ids": ["ADD_TO_PLAYLIST_MUSIC", "CREATE_PLAYLIST_MUSIC"],
+      "quarantine_if_regex_any": ["\\b(?:add|save|put)\\b.{0,60}\\b(?:new|another)\\s+(?:playlist|play\\s+list)\\b"],
+      "reason": "Creating a new collection and adding to it can require two operations.",
+      "examples": ["Add this to a new playlist"]
+    },
+    {
+      "id": "music_remove_requires_playlist_object",
+      "canonical_ids": ["REMOVE_FROM_PLAYLIST_MUSIC"],
+      "require_any_regex": ["\\b(?:playlist|play\\s+list|queue|collection)\\b"],
+      "reason": "A ban or negative preference is not proven to be a playlist-member removal.",
+      "examples": ["Don't play this song anymore, please", "Ban this track", "no country music ever"]
+    },
+    {
+      "id": "music_dislike_requires_feedback",
+      "canonical_ids": ["DISLIKE_MUSIC"],
+      "require_any_regex": ["\\b(?:dislike|hate)\\b", "\\b(?:don['’]?t|do not)\\s+(?:really\\s+)?like\\b", "\\bthumbs?\\s+down\\b"],
+      "reason": "Never play/skip/stop requests do not uniquely mean preference feedback.",
+      "examples": ["don't play that song anymore"]
+    },
+    {
+      "id": "music_like_favorite_collection_ambiguity",
+      "canonical_ids": ["LIKE_MUSIC"],
+      "quarantine_if_regex_any": ["\\b(?:favorite|favourite|favorites|favourites|playlist|play\\s+list|queue)\\b"],
+      "unless_any_regex": ["\\bthumbs?\\s+up\\b", "\\b(?:like|love)\\b"],
+      "reason": "Favorite alone may refer to a collection operation rather than a like.",
+      "examples": ["Favorite this track", "Favorite this"]
+    },
+    {
+      "id": "pause_music_requires_pause",
+      "canonical_ids": ["PAUSE_MUSIC"],
+      "require_any_regex": ["\\bpause\\b", "\\bon hold\\b", "\\btemporar(?:y|ily)\\b"],
+      "reason": "Generic stop commands under a PAUSE source label do not establish pause semantics.",
+      "examples": ["stop the music"]
+    },
+    {
+      "id": "stop_music_not_pause",
+      "canonical_ids": ["STOP_MUSIC"],
+      "quarantine_if_regex_any": ["\\b(?:pause|resume|unpause)\\b"],
+      "reason": "These explicit playback-state actions conflict with stopping.",
+      "examples": ["pause the music"]
+    },
+    {
+      "id": "previous_versus_replay_last_item",
+      "canonical_ids": ["PREVIOUS_TRACK_MUSIC", "REPLAY_MUSIC", "PLAY_MUSIC"],
+      "quarantine_if_regex_any": ["\\blast\\s+(?:song|track|album|one)\\b"],
+      "reason": "Last may identify the previous item or an item to repeat; source labels disagree.",
+      "examples": ["Repeat the last song immediately", "Repeat the last album"]
+    },
+    {
+      "id": "previous_requires_back_navigation",
+      "canonical_ids": ["PREVIOUS_TRACK_MUSIC"],
+      "require_any_regex": ["\\bprevious\\b", "\\bgo\\s+back\\b", "\\bback\\s+(?:one|a)\\s+(?:song|track)\\b"],
+      "reason": "Repeat/replay without explicit previous-item navigation belongs to the repetition class or is ambiguous.",
+      "examples": ["Repeat song"]
+    },
+    {
+      "id": "music_information_live_events",
+      "canonical_ids": ["GET_TRACK_INFO_MUSIC"],
+      "quarantine_if_regex_any": ["\\b(?:concert|concerts|tour|touring|tickets|shows)\\b"],
+      "reason": "Source music questions about concerts or tours can be event retrieval requests.",
+      "examples": ["What concerts are happening in the South", "When does this artist next go on tour"]
+    },
+    {
+      "id": "person_employer_versus_location",
+      "canonical_ids": ["GET_EMPLOYER", "GET_CONTACT"],
+      "quarantine_if_regex_any": ["\\bwhere\\s+(?:does|did|do|is)\\b.{0,70}\\bwork(?:s|ing)?\\b", "\\bwork(?:place)?\\s+address\\b"],
+      "unless_any_regex": ["\\b(?:company|employer|organization|organisation)\\b"],
+      "reason": "Where someone works may request an employer identity or a workplace address.",
+      "examples": ["Where does Doug work"]
+    },
+    {
+      "id": "help_reminder_needs_instruction_question",
+      "canonical_ids": ["HELP_REMINDER"],
+      "require_any_regex": ["\\bhow\\s+(?:do|can|could|should|would)\\s+I\\b", "\\bhow\\s+to\\b", "\\b(?:instructions|tutorial|explain|manual(?:ly)?)\\b"],
+      "reason": "Help me find/change may request execution, rather than instructions about reminder functions.",
+      "examples": ["Help me find the reminders for all the new fall shows I want to watch"]
+    },
+    {
+      "id": "availability_set_needs_self_status",
+      "canonical_ids": ["SET_AVAILABLE", "SET_UNAVAILABLE"],
+      "require_any_regex": ["\\b(?:I am|I'm|my status|my availability|show me as|mark me|set me|set my|do not disturb|don't disturb|do not bother|don't bother)\\b"],
+      "reason": "A bare availability query may be a read operation rather than a presence update.",
+      "examples": ["Display availability"]
+    },
+    {
+      "id": "default_provider_needs_persistent_preference",
+      "canonical_ids": ["SET_DEFAULT_PROVIDER_MUSIC", "SET_DEFAULT_PROVIDER_CALLING"],
+      "require_any_regex": ["\\b(?:default|always|every time|from now on|by default|preferred)\\b"],
+      "reason": "Choosing a provider for the present request is not necessarily changing the persistent default.",
+      "examples": ["use Spotify"]
+    },
+    {
+      "id": "second_sentence_action",
+      "canonical_ids": ["*"],
+      "quarantine_if_regex_any": ["[.!?]\\s+(?:(?:please|also|then)\\s+)?(?:play|call|send|set|start|stop|turn|delete|remove|cancel|pause|create)\\b"],
+      "reason": "A second imperative sentence can add an independent requested action even when the source tree has one root.",
+      "examples": ["I don't like this song. Turn it off."]
+    },
+    {
+      "id": "explicit_multiple_domain_actions",
+      "canonical_ids": ["*"],
+      "quarantine_if_regex_any": ["\\b(?:set|create|start)\\b.{0,45}\\b(?:alarm|timer)\\b.{0,20}\\b(?:and|then)\\s+(?:also\\s+)?(?:send|call|play|text)\\b", "\\b(?:play|pause|stop)\\b.{0,35}\\b(?:music|song|track)\\b.{0,20}\\b(?:and|then)\\s+(?:also\\s+)?(?:send|call|text|set|create)\\b"],
+      "reason": "Explicitly coordinated operations across domains cannot be represented as a single correct action without an execution-order contract.",
+      "examples": ["Set a timer and call Mom", "Play music and send a message"]
+    }
+  ],
+  "limitations": [
+    "These are conservative quarantine heuristics; valid examples may be excluded, and unflagged examples are not certified unambiguous.",
+    "After filtering, recheck independent query counts per canonical class and remove classes that no longer meet the chosen support threshold.",
+    "Do not create global negative labels from these exclusions.",
+    "Illustrative examples include both observed source wording and synthetic minimal phrases used to describe the rule; they are not additional training records."
+  ]
+}

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docs/curation-v2.md

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+# Curation record: 2026-10-14 v2
+
+This release was built from the fixed inputs listed in [source_manifest.json](../audit/source_manifest.json). Per-row provenance and the catalogs record the accepted source coordinates and adaptation. Counts refer to this frozen release, not to the full upstream datasets. The sampling seed is `20261014`. Python and library versions are recorded in the manifest.
+
+## Included sources and task boundaries
+
+MTOP English and TOPv2 are one semantic source family. Funcdex supplies synthetic multi-turn function-calling conversations. Nemotron tool-selection steps come from `MaziyarPanahi/AgentToolDecisions-180K` at `22b91136648789a2881183dfc2f77d756659444c`; all 37,233 inspected tool-selection records trace to `nvidia/Nemotron-SFT-Agentic-v2`, revision `7c804833427f633ccd53b582dbf02525fd680f78`, config `default`, partition `interactive_agent`. No When2Call portion or separate Nemotron `tool_calling` partition is included.
+
+NLU++ uses original English hotel files from PolyAI's repository at `57ec275d8078af65b7731c2a98be812d844a6d6b`. Banking data and Funcdex toolkits containing Stripe are excluded, following the original corpus's finance scope. Bitext and HWU64 remain candidates for separate template/family audits and are not part of this release.
+
+## Semantic adaptation
+
+1. Validate bracketed source parse trees and MTOP's declared root intent; retain original query text and source coordinates. Do not promote source evaluation/test rows to training.
+2. Apply the published [ontology mapping](../curation/semantic_ontology_review.json). Merge aliases, retain reviewed descriptions and identify overlapping or parent/child operations. Single-choice candidates require a single intent node and a usable reviewed label. Native `UNSUPPORTED_*` labels are source-relative and never become global no-match labels automatically.
+3. Exclude benchmark lexical matches and exact legacy query overlaps. Resolve conflicting mapped labels conservatively. Normalize with Unicode NFKC, case folding and word-token extraction. Replace leaf slot spans and numeric tokens to derive template keys.
+4. Assign duplicates/templates by source split priority: test, then validation, then train. Remove other-split instances; deduplicate normalized queries. These operations use text and provenance for isolation, not held-out model performance.
+5. Apply the [source screening rules](../curation/semantic_query_screening_rules.json) and [additional training-sample review rules](../curation/quality_overrides.json). The review found mixed feedback/volume requests, repeat-versus-previous ambiguity and contextless call/navigation operations. It also clarified that education-time descriptions cover duration. Rules are conservative rejection rules, not relabeling rules. They do not equate missing execution slots with unsupported intent.
+6. Require at least 20 independent training requests after isolation. Cap each class at 400 train and 150 validation/test requests, with deterministic seeded ordering. The resulting main catalog has 68 labels. Complex, ambiguous, native unsupported and low-support records go to `semantic_original_labels` with their original labels and exclusion reasons.
+7. For every accepted request, construct one positive and one candidate-relative no-match row in the same split. Include non-equivalent neighbors and random other catalog entries. Conflict exclusions are symmetric for all listed conflict types. Replace the removed target with another non-equivalent candidate, keep the same candidate count and include the same no-match option on both sides. Shuffle candidate positions. The catalog hash includes descriptions and excluded-neighbor sets.
+
+This yields 13,488 independent training requests and 26,976 paired training rows. Candidate catalogs are an adaptation of reviewed source labels; the review does not certify every utterance's sole valid interpretation. All pair variants must remain grouped by `parent_id` when resplitting.
+
+## Tool adaptation
+
+**Funcdex.** Keep native test conversations in test and assign approximately 10% of eligible native train conversations to validation by a deterministic hash of the normalized initial request. Group by that initial request. Reject whole conversations for duplicate/unknown tool names, invalid or multiple calls, malformed arguments, schema failures, benchmark overlaps, excluded finance toolkits and known synthetic/unsupported-result scaffolding. Preserve the source system message and every preceding message before each selected assistant call. The current answer is not included in the input. Preserve full tool schemas and original target arguments in structured metadata.
+
+Targeted inspection identified 13 conversations rejected by the additional review rules, including a drive-creation trajectory lacking policy prerequisites and a trajectory claiming an assumed spreadsheet result. This is not a random-sample estimate of the source's error rate. The remaining labels record observed calls, not certified unique actions. No-call, clarification, confirmation and completion turns are not converted to negative tool-choice examples.
+
+**Nemotron.** Map all 36,048 original Nemotron records back to source-derived rows by query, target and candidate reconstruction. The original train/test split shares 2,687 raw parent conversations; previous augmented train versus historical validation/test shares 108 parents. Block the union of 3,286 protected parents. Replace all 32,500 cropped Nemotron training rows in the v2 configuration with eligible source-derived prefixes. Preserve frozen legacy test records for continuity.
+
+The intermediate source kept at most 12 conversation messages and truncated some message objects. Its separate policy field can repair truncated system messages. Restore that policy and discard steps with known missing earlier history, non-system truncation or unavailable policy. Apply benchmark and finance exclusions to entire raw conversations. The resulting tool view has 22,231 Nemotron training steps; 5,574 kept steps across all splits required system-truncation repair. Full original function schemas were not recovered. [Parent blocklist](../curation/nemotron_reserved_parents.json), [canonical lineage](../curation/nemotron_canonical_lineage.jsonl.gz), [context audit](../audit/nemotron_context_repair_summary.json).
+
+## Legacy replay and NLU++
+
+Retain 63,223 original non-Nemotron training records after frozen historical holdout-ID/query exclusion, normalized duplicate removal and the recorded lexical benchmark checks. Preserve core fields. Legacy sources other than mapped Nemotron do not all expose parent dialogue IDs, so query-level isolation does not prove conversation/template independence for those sources. [Legacy holdout identifiers](../curation/legacy_holdout_ids.json) preserve existing public-record membership for future exclusions; they are not a newly independent evaluation set.
+
+NLU++ hotel folds 0–15 are train, 16–17 validation and 18–19 test. Remove exact conflicts and cross-split query/slot-template overlaps. Preserve every annotated intent module and slot; nonempty-intent rows get optional 40-module boolean supervision. Empty-intent records remain context fragments with no generated head labels. The resulting train/validation/test intent-eligible counts are 576/71/70.
+
+## Exclusion and validation scope
+
+The [source-family policy](../curation/excluded_source_families.json) retains all 35 ToolRet source exclusions, plus the existing benchmark exclusions and their known derivatives. Source-family exclusion is applied before lexical checks; rewriting a disallowed source does not make it eligible.
+
+The [lexical index manifest](../audit/exclusion_manifest.json) records the exact cached inputs: selected states for ten benchmarks, all 35 ToolRet query-source files, CLINC data, cached BANKING77, BFCL v3 requests and cached API-Bank user turns. Matching uses normalized exact text or a shared ten-word sequence. Coverage is limited to those files; in particular, selected-state coverage is not every split of every benchmark. Slot-template checks apply to new semantic and NLU++ families. No model-based paraphrase decontamination claim is made. Exclusion hashes are included as audit controls, not training data.
+
+[Validation](../audit/validation.json) checks every released record's basic contract and hashes, source coordinates, original-field preservation, view identity, positive/negative pair construction, candidate conflicts, tool prefix/label alignment, recorded context-loss flags, protected parents and NLU++ multi-label preservation. Cross-split ID, parent, normalized-query and applicable template contracts are checked. Mechanical validation does not replace semantic adjudication, and no model training or retention-gate experiment is part of this dataset release.

docs/legacy-data-card.md

@@ -0,0 +1,162 @@
+---
+language:
+- en
+license: other
+license_name: mixed-upstream-licenses
+task_categories:
+- text-classification
+- zero-shot-classification
+task_ids:
+- intent-classification
+- multi-class-classification
+tags:
+- fastbrain
+- system-1
+- non-autoregressive
+- function-calling
+- tool-use
+- routing
+- synthetic
+- composite
+- aggregation
+- decontaminated
+source_datasets:
+- glaiveai/glaive-function-calling-v2
+- NousResearch/hermes-function-calling-v1
+- nvidia/Nemotron-SFT-Agentic-v2
+- MaziyarPanahi/AgentToolDecisions-180K
+- AnishJoshi/nl2bash-custom
+- burak29/git-natural-language-commands
+- AmazonScience/massive
+- google-research-datasets/schema_guided_dstc8
+size_categories:
+- 100K<n<1M
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: train.parquet
+  - split: test
+    path: test.parquet
+---
+
+# ⚡ FastBrain-Instruct: Aggregated Fine-Tuning Corpus for System 1 Decision Models
+
+[![Data Origin](https://img.shields.io/badge/Origin-Aggregated%20%26%20Reformatted-amber.svg)](#️-provenance-not-an-original-dataset)
+[![Samples](https://img.shields.io/badge/Samples-108%2C278-purple)](#-statistics)
+[![Decontaminated](https://img.shields.io/badge/Benchmark-Decontaminated-blue)](#-benchmark-exclusion--decontamination)
+
+> [!WARNING]
+> ### ⚠️ Provenance: not an original dataset
+>
+> **FastBrain-Instruct is NOT written from scratch.** It aggregates existing open datasets, reformats them into one choice/routing schema, removes finance content, deduplicates, and decontaminates against public decision benchmarks. All query text and labels come from the upstream sources below (except 25 maintainer-written DevOps templates).
+>
+> | Upstream source | Author | License | Rows (train / test) |
+> | :--- | :--- | :--- | ---: |
+> | [Schema-Guided Dialogue (SGD)](https://github.com/google-research-datasets/dstc8-schema-guided-dialogue) | Google Research (Rastogi et al., 2020) | CC BY-SA 4.0 | 34,455 / 3,889 |
+> | [Nemotron-SFT-Agentic-v2](https://huggingface.co/datasets/nvidia/Nemotron-SFT-Agentic-v2), via the `tool_selection` subset of [AgentToolDecisions-180K](https://huggingface.co/datasets/MaziyarPanahi/AgentToolDecisions-180K) | NVIDIA; transformed by Maziyar Panahi | CC BY 4.0 | 32,500 / 3,548 |
+> | [MASSIVE](https://huggingface.co/datasets/AmazonScience/massive) (en, via `mteb/amazon_massive_intent`) | Amazon Science (FitzGerald et al., 2022) | CC BY 4.0 | 14,264 / 1,531 |
+> | [Glaive Function Calling v2](https://huggingface.co/datasets/glaiveai/glaive-function-calling-v2) | Glaive AI | Apache 2.0 | 11,575 / 1,305 |
+> | [NL2Bash](https://huggingface.co/datasets/AnishJoshi/nl2bash-custom) | Lin et al., 2018 (HF mirror by AnishJoshi) | see source | 2,809 / 345 |
+> | [Hermes Function Calling v1](https://huggingface.co/datasets/NousResearch/hermes-function-calling-v1) | NousResearch | Apache 2.0 | 1,015 / 132 |
+> | [Git natural-language commands](https://huggingface.co/datasets/burak29/git-natural-language-commands) | burak29 | see source | 810 / 75 |
+> | DevOps / terminal templates | maintainer | Apache 2.0 | 22 / 3 |
+>
+> Glaive v2 and Nemotron-SFT-Agentic-v2 are themselves synthetically generated. Users must comply with each upstream license; SGD is CC BY-SA 4.0 (share-alike).
+
+---
+
+## 📌 What it is
+
+Each row is a single decision: given a `query` (a user request, or for agent rows the recent conversation) and a list of candidate `choices` (name + description), pick the correct `target`. The format targets non-autoregressive "System 1" decision heads (e.g., the `JointSchemaHead` design used by Cloudflare Clef / Clef-Flash) that score candidates in one forward pass.
+
+Two domains, balanced 50/50:
+- **`code_mechanical`** — tool / function selection (Glaive, Hermes), multi-tool agent next-tool selection (Nemotron), terminal utility selection (NL2Bash), git subcommand selection, DevOps templates.
+- **`daily_assistant`** — intent selection for voice-assistant and service dialogues (MASSIVE, SGD).
+
+No model trained on this dataset is released, and no benchmark results are claimed.
+
+## 🚫 Benchmark exclusion & decontamination
+
+This dataset is intended for training models that will be compared on the benchmarks used in the Cloudflare Clef / Jev Decision Index table. Therefore:
+
+1. **No benchmark is used as a source.** Excluded entirely: BFCL, ToolRet and all 35 of its source datasets (incl. APIGen/xLAM, ToolACE, ToolBench, Gorilla, MetaTool, API-Bank, …), API-Bank, When2Call (and derived data such as the When2Call part of AgentToolDecisions), BANKING77, CLINC150, BRIGHT, Amazon ESCI, PhishNChips.
+2. **Text-level decontamination.** Every query (for agent rows: every user message) was checked against the texts of BFCL v3, ToolRet-Queries (35 subsets), When2Call (all files), API-Bank (all files), BANKING77 and CLINC150 (all configs). A row is removed on a normalized exact match **or** any shared 10-word n-gram. 2,674 rows were removed this way (e.g., Glaive: 899 ToolRet, 470 BFCL, 333 When2Call matches; SGD: 420 BFCL matches; MASSIVE: 212 CLINC150 matches).
+
+Not checked at text level: Home appliances (no public copy found), BRIGHT, Amazon ESCI, PhishNChips (different domains from all sources used).
+
+## 🔧 Processing
+
+1. **Extraction**
+   - Glaive v2: all 112,960 rows scanned; the user turn right before the first `<functioncall>` is the query; candidates are the tools listed in that sample's system prompt.
+   - Hermes v1: first human turn; candidates are that sample's tools.
+   - Nemotron agentic: conversation rendered as `role: content` lines (last 1,500 chars); candidates are all tools available to the agent (5–30).
+   - NL2Bash: only single, non-compound commands (no pipes, `;`, `&&`, substitutions, loops); target is the utility name; `find` capped at 1,500 rows.
+   - SGD: user turns where a service's active intent changes; candidates are the intents of that service plus intents from other services, with SGD's own intent descriptions.
+   - MASSIVE: all splits; description generated from the label name.
+2. **Candidates**: at least 5 per row; when a sample has fewer own candidates, random distractors from the same source are added, excluding names that heavily overlap with the target (token Jaccard ≥ 0.5).
+3. **Finance removal**: MASSIVE `qa_currency`, `qa_stock`; SGD `Banks_*` and `Payment_*` services.
+4. **Deduplication**: normalized exact `query` duplicates removed; queries with conflicting labels dropped (1,410).
+5. **Balancing**: the larger domain is downsampled (largest source first) to match the smaller one.
+6. **Split**: random 90/10 over unique queries; no `query` appears in both splits.
+
+## 📊 Statistics
+
+| | Train | Test | Total |
+| :--- | ---: | ---: | ---: |
+| **Rows** | **97,450** | **10,828** | **108,278** |
+| `code_mechanical` | — | — | 54,139 (50%) |
+| `daily_assistant` | — | — | 54,139 (50%) |
+| Choices per row | 5–30 (median 5) | | |
+| Distinct targets | | | 5,681 |
+
+## ⚠️ Limitations
+
+- **Easy distractors in some sources**: Glaive and NL2Bash rows usually have only one "own" candidate, so the other 4 are random and often unrelated.
+- **Near-duplicates remain**: templated queries (Glaive, SGD) differing only in entities are kept; only exact duplicates were removed.
+- **Weak descriptions**: MASSIVE descriptions are generated from label names (e.g., "User intention to play music"); Nemotron tool descriptions are kept as-is.
+- **NL2Bash skew**: `find` dominates the terminal subset even after capping.
+- **Decontamination is lexical**: paraphrased benchmark items would not be caught.
+
+---
+
+## 🛠️ Quickstart
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("TypeScript/FastBrain-Instruct")
+print(ds["train"][0])
+```
+
+| Field | Type | Description |
+| :--- | :--- | :--- |
+| `id` | string | Row id |
+| `domain` | string | `code_mechanical` or `daily_assistant` |
+| `category` | string | e.g. `api_tool_routing`, `agent_tool_selection`, `terminal_command`, `service_dialogue` |
+| `query` | string | User request (or rendered recent conversation for agent rows) |
+| `target` | string | Correct choice name |
+| `choices` | list of `{name, description}` | Candidates, including `target` |
+| `source` | string | Upstream source |
+
+## ⚖️ Upstream Attribution
+
+- **Google Research** — Schema-Guided Dialogue (Rastogi et al., AAAI 2020), CC BY-SA 4.0.
+- **NVIDIA** — Nemotron-SFT-Agentic-v2, CC BY 4.0; decision-format transformation by **Maziyar Panahi** (AgentToolDecisions-180K).
+- **Amazon Science** — MASSIVE (FitzGerald et al., 2022), CC BY 4.0.
+- **Glaive AI** — Glaive Function Calling v2.
+- **NousResearch** — Hermes Function Calling v1.
+- **Lin et al.** — NL2Bash (LREC 2018).
+- **burak29** — Git natural-language commands.
+
+## 📜 Citation
+
+```bibtex
+@dataset{fastbrain_instruct_2026,
+  author = {TypeScript},
+  title = {FastBrain-Instruct: Aggregated Fine-Tuning Corpus for System 1 Decision Models},
+  year = {2026},
+  publisher = {Hugging Face},
+  howpublished = {https://huggingface.co/datasets/TypeScript/FastBrain-Instruct}
+}
+```

licenses/CC-BY-4.0.txt

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licenses/Funcdex-MIT.txt

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+Using Creative Commons Public Licenses
+
+Creative Commons public licenses provide a standard set of terms and
+conditions that creators and other rights holders may use to share
+original works of authorship and other material subject to copyright
+and certain other rights specified in the public license below. The
+following considerations are for informational purposes only, are not
+exhaustive, and do not form part of our licenses.
+
+     Considerations for licensors: Our public licenses are
+     intended for use by those authorized to give the public
+     permission to use material in ways otherwise restricted by
+     copyright and certain other rights. Our licenses are
+     irrevocable. Licensors should read and understand the terms
+     and conditions of the license they choose before applying it.
+     Licensors should also secure all rights necessary before
+     applying our licenses so that the public can reuse the
+     material as expected. Licensors should clearly mark any
+     material not subject to the license. This includes other CC-
+     licensed material, or material used under an exception or
+     limitation to copyright. More considerations for licensors:
+    wiki.creativecommons.org/Considerations_for_licensors
+
+     Considerations for the public: By using one of our public
+     licenses, a licensor grants the public permission to use the
+     licensed material under specified terms and conditions. If
+     the licensor's permission is not necessary for any reason--for
+     example, because of any applicable exception or limitation to
+     copyright--then that use is not regulated by the license. Our
+     licenses grant only permissions under copyright and certain
+     other rights that a licensor has authority to grant. Use of
+     the licensed material may still be restricted for other
+     reasons, including because others have copyright or other
+     rights in the material. A licensor may make special requests,
+     such as asking that all changes be marked or described.
+     Although not required by our licenses, you are encouraged to
+     respect those requests where reasonable. More considerations
+     for the public:
+    wiki.creativecommons.org/Considerations_for_licensees
+
+=======================================================================
+
+Creative Commons Attribution-ShareAlike 4.0 International Public
+License
+
+By exercising the Licensed Rights (defined below), You accept and agree
+to be bound by the terms and conditions of this Creative Commons
+Attribution-ShareAlike 4.0 International Public License ("Public
+License"). To the extent this Public License may be interpreted as a
+contract, You are granted the Licensed Rights in consideration of Your
+acceptance of these terms and conditions, and the Licensor grants You
+such rights in consideration of benefits the Licensor receives from
+making the Licensed Material available under these terms and
+conditions.
+
+
+Section 1 -- Definitions.
+
+  a. Adapted Material means material subject to Copyright and Similar
+     Rights that is derived from or based upon the Licensed Material
+     and in which the Licensed Material is translated, altered,
+     arranged, transformed, or otherwise modified in a manner requiring
+     permission under the Copyright and Similar Rights held by the
+     Licensor. For purposes of this Public License, where the Licensed
+     Material is a musical work, performance, or sound recording,
+     Adapted Material is always produced where the Licensed Material is
+     synched in timed relation with a moving image.
+
+  b. Adapter's License means the license You apply to Your Copyright
+     and Similar Rights in Your contributions to Adapted Material in
+     accordance with the terms and conditions of this Public License.
+
+  c. BY-SA Compatible License means a license listed at
+     creativecommons.org/compatiblelicenses, approved by Creative
+     Commons as essentially the equivalent of this Public License.
+
+  d. Copyright and Similar Rights means copyright and/or similar rights
+     closely related to copyright including, without limitation,
+     performance, broadcast, sound recording, and Sui Generis Database
+     Rights, without regard to how the rights are labeled or
+     categorized. For purposes of this Public License, the rights
+     specified in Section 2(b)(1)-(2) are not Copyright and Similar
+     Rights.
+
+  e. Effective Technological Measures means those measures that, in the
+     absence of proper authority, may not be circumvented under laws
+     fulfilling obligations under Article 11 of the WIPO Copyright
+     Treaty adopted on December 20, 1996, and/or similar international
+     agreements.
+
+  f. Exceptions and Limitations means fair use, fair dealing, and/or
+     any other exception or limitation to Copyright and Similar Rights
+     that applies to Your use of the Licensed Material.
+
+  g. License Elements means the license attributes listed in the name
+     of a Creative Commons Public License. The License Elements of this
+     Public License are Attribution and ShareAlike.
+
+  h. Licensed Material means the artistic or literary work, database,
+     or other material to which the Licensor applied this Public
+     License.
+
+  i. Licensed Rights means the rights granted to You subject to the
+     terms and conditions of this Public License, which are limited to
+     all Copyright and Similar Rights that apply to Your use of the
+     Licensed Material and that the Licensor has authority to license.
+
+  j. Licensor means the individual(s) or entity(ies) granting rights
+     under this Public License.
+
+  k. Share means to provide material to the public by any means or
+     process that requires permission under the Licensed Rights, such
+     as reproduction, public display, public performance, distribution,
+     dissemination, communication, or importation, and to make material
+     available to the public including in ways that members of the
+     public may access the material from a place and at a time
+     individually chosen by them.
+
+  l. Sui Generis Database Rights means rights other than copyright
+     resulting from Directive 96/9/EC of the European Parliament and of
+     the Council of 11 March 1996 on the legal protection of databases,
+     as amended and/or succeeded, as well as other essentially
+     equivalent rights anywhere in the world.
+
+  m. You means the individual or entity exercising the Licensed Rights
+     under this Public License. Your has a corresponding meaning.
+
+
+Section 2 -- Scope.
+
+  a. License grant.
+
+       1. Subject to the terms and conditions of this Public License,
+          the Licensor hereby grants You a worldwide, royalty-free,
+          non-sublicensable, non-exclusive, irrevocable license to
+          exercise the Licensed Rights in the Licensed Material to:
+
+            a. reproduce and Share the Licensed Material, in whole or
+               in part; and
+
+            b. produce, reproduce, and Share Adapted Material.
+
+       2. Exceptions and Limitations. For the avoidance of doubt, where
+          Exceptions and Limitations apply to Your use, this Public
+          License does not apply, and You do not need to comply with
+          its terms and conditions.
+
+       3. Term. The term of this Public License is specified in Section
+          6(a).
+
+       4. Media and formats; technical modifications allowed. The
+          Licensor authorizes You to exercise the Licensed Rights in
+          all media and formats whether now known or hereafter created,
+          and to make technical modifications necessary to do so. The
+          Licensor waives and/or agrees not to assert any right or
+          authority to forbid You from making technical modifications
+          necessary to exercise the Licensed Rights, including
+          technical modifications necessary to circumvent Effective
+          Technological Measures. For purposes of this Public License,
+          simply making modifications authorized by this Section 2(a)
+          (4) never produces Adapted Material.
+
+       5. Downstream recipients.
+
+            a. Offer from the Licensor -- Licensed Material. Every
+               recipient of the Licensed Material automatically
+               receives an offer from the Licensor to exercise the
+               Licensed Rights under the terms and conditions of this
+               Public License.
+
+            b. Additional offer from the Licensor -- Adapted Material.
+               Every recipient of Adapted Material from You
+               automatically receives an offer from the Licensor to
+               exercise the Licensed Rights in the Adapted Material
+               under the conditions of the Adapter's License You apply.
+
+            c. No downstream restrictions. You may not offer or impose
+               any additional or different terms or conditions on, or
+               apply any Effective Technological Measures to, the
+               Licensed Material if doing so restricts exercise of the
+               Licensed Rights by any recipient of the Licensed
+               Material.
+
+       6. No endorsement. Nothing in this Public License constitutes or
+          may be construed as permission to assert or imply that You
+          are, or that Your use of the Licensed Material is, connected
+          with, or sponsored, endorsed, or granted official status by,
+          the Licensor or others designated to receive attribution as
+          provided in Section 3(a)(1)(A)(i).
+
+  b. Other rights.
+
+       1. Moral rights, such as the right of integrity, are not
+          licensed under this Public License, nor are publicity,
+          privacy, and/or other similar personality rights; however, to
+          the extent possible, the Licensor waives and/or agrees not to
+          assert any such rights held by the Licensor to the limited
+          extent necessary to allow You to exercise the Licensed
+          Rights, but not otherwise.
+
+       2. Patent and trademark rights are not licensed under this
+          Public License.
+
+       3. To the extent possible, the Licensor waives any right to
+          collect royalties from You for the exercise of the Licensed
+          Rights, whether directly or through a collecting society
+          under any voluntary or waivable statutory or compulsory
+          licensing scheme. In all other cases the Licensor expressly
+          reserves any right to collect such royalties.
+
+
+Section 3 -- License Conditions.
+
+Your exercise of the Licensed Rights is expressly made subject to the
+following conditions.
+
+  a. Attribution.
+
+       1. If You Share the Licensed Material (including in modified
+          form), You must:
+
+            a. retain the following if it is supplied by the Licensor
+               with the Licensed Material:
+
+                 i. identification of the creator(s) of the Licensed
+                    Material and any others designated to receive
+                    attribution, in any reasonable manner requested by
+                    the Licensor (including by pseudonym if
+                    designated);
+
+                ii. a copyright notice;
+
+               iii. a notice that refers to this Public License;
+
+                iv. a notice that refers to the disclaimer of
+                    warranties;
+
+                 v. a URI or hyperlink to the Licensed Material to the
+                    extent reasonably practicable;
+
+            b. indicate if You modified the Licensed Material and
+               retain an indication of any previous modifications; and
+
+            c. indicate the Licensed Material is licensed under this
+               Public License, and include the text of, or the URI or
+               hyperlink to, this Public License.
+
+       2. You may satisfy the conditions in Section 3(a)(1) in any
+          reasonable manner based on the medium, means, and context in
+          which You Share the Licensed Material. For example, it may be
+          reasonable to satisfy the conditions by providing a URI or
+          hyperlink to a resource that includes the required
+          information.
+
+       3. If requested by the Licensor, You must remove any of the
+          information required by Section 3(a)(1)(A) to the extent
+          reasonably practicable.
+
+  b. ShareAlike.
+
+     In addition to the conditions in Section 3(a), if You Share
+     Adapted Material You produce, the following conditions also apply.
+
+       1. The Adapter's License You apply must be a Creative Commons
+          license with the same License Elements, this version or
+          later, or a BY-SA Compatible License.
+
+       2. You must include the text of, or the URI or hyperlink to, the
+          Adapter's License You apply. You may satisfy this condition
+          in any reasonable manner based on the medium, means, and
+          context in which You Share Adapted Material.
+
+       3. You may not offer or impose any additional or different terms
+          or conditions on, or apply any Effective Technological
+          Measures to, Adapted Material that restrict exercise of the
+          rights granted under the Adapter's License You apply.
+
+
+Section 4 -- Sui Generis Database Rights.
+
+Where the Licensed Rights include Sui Generis Database Rights that
+apply to Your use of the Licensed Material:
+
+  a. for the avoidance of doubt, Section 2(a)(1) grants You the right
+     to extract, reuse, reproduce, and Share all or a substantial
+     portion of the contents of the database;
+
+  b. if You include all or a substantial portion of the database
+     contents in a database in which You have Sui Generis Database
+     Rights, then the database in which You have Sui Generis Database
+     Rights (but not its individual contents) is Adapted Material,
+
+     including for purposes of Section 3(b); and
+  c. You must comply with the conditions in Section 3(a) if You Share
+     all or a substantial portion of the contents of the database.
+
+For the avoidance of doubt, this Section 4 supplements and does not
+replace Your obligations under this Public License where the Licensed
+Rights include other Copyright and Similar Rights.
+
+
+Section 5 -- Disclaimer of Warranties and Limitation of Liability.
+
+  a. UNLESS OTHERWISE SEPARATELY UNDERTAKEN BY THE LICENSOR, TO THE
+     EXTENT POSSIBLE, THE LICENSOR OFFERS THE LICENSED MATERIAL AS-IS
+     AND AS-AVAILABLE, AND MAKES NO REPRESENTATIONS OR WARRANTIES OF
+     ANY KIND CONCERNING THE LICENSED MATERIAL, WHETHER EXPRESS,
+     IMPLIED, STATUTORY, OR OTHER. THIS INCLUDES, WITHOUT LIMITATION,
+     WARRANTIES OF TITLE, MERCHANTABILITY, FITNESS FOR A PARTICULAR
+     PURPOSE, NON-INFRINGEMENT, ABSENCE OF LATENT OR OTHER DEFECTS,
+     ACCURACY, OR THE PRESENCE OR ABSENCE OF ERRORS, WHETHER OR NOT
+     KNOWN OR DISCOVERABLE. WHERE DISCLAIMERS OF WARRANTIES ARE NOT
+     ALLOWED IN FULL OR IN PART, THIS DISCLAIMER MAY NOT APPLY TO YOU.
+
+  b. TO THE EXTENT POSSIBLE, IN NO EVENT WILL THE LICENSOR BE LIABLE
+     TO YOU ON ANY LEGAL THEORY (INCLUDING, WITHOUT LIMITATION,
+     NEGLIGENCE) OR OTHERWISE FOR ANY DIRECT, SPECIAL, INDIRECT,
+     INCIDENTAL, CONSEQUENTIAL, PUNITIVE, EXEMPLARY, OR OTHER LOSSES,
+     COSTS, EXPENSES, OR DAMAGES ARISING OUT OF THIS PUBLIC LICENSE OR
+     USE OF THE LICENSED MATERIAL, EVEN IF THE LICENSOR HAS BEEN
+     ADVISED OF THE POSSIBILITY OF SUCH LOSSES, COSTS, EXPENSES, OR
+     DAMAGES. WHERE A LIMITATION OF LIABILITY IS NOT ALLOWED IN FULL OR
+     IN PART, THIS LIMITATION MAY NOT APPLY TO YOU.
+
+  c. The disclaimer of warranties and limitation of liability provided
+     above shall be interpreted in a manner that, to the extent
+     possible, most closely approximates an absolute disclaimer and
+     waiver of all liability.
+
+
+Section 6 -- Term and Termination.
+
+  a. This Public License applies for the term of the Copyright and
+     Similar Rights licensed here. However, if You fail to comply with
+     this Public License, then Your rights under this Public License
+     terminate automatically.
+
+  b. Where Your right to use the Licensed Material has terminated under
+     Section 6(a), it reinstates:
+
+       1. automatically as of the date the violation is cured, provided
+          it is cured within 30 days of Your discovery of the
+          violation; or
+
+       2. upon express reinstatement by the Licensor.
+
+     For the avoidance of doubt, this Section 6(b) does not affect any
+     right the Licensor may have to seek remedies for Your violations
+     of this Public License.
+
+  c. For the avoidance of doubt, the Licensor may also offer the
+     Licensed Material under separate terms or conditions or stop
+     distributing the Licensed Material at any time; however, doing so
+     will not terminate this Public License.
+
+  d. Sections 1, 5, 6, 7, and 8 survive termination of this Public
+     License.
+
+
+Section 7 -- Other Terms and Conditions.
+
+  a. The Licensor shall not be bound by any additional or different
+     terms or conditions communicated by You unless expressly agreed.
+
+  b. Any arrangements, understandings, or agreements regarding the
+     Licensed Material not stated herein are separate from and
+     independent of the terms and conditions of this Public License.
+
+
+Section 8 -- Interpretation.
+
+  a. For the avoidance of doubt, this Public License does not, and
+     shall not be interpreted to, reduce, limit, restrict, or impose
+     conditions on any use of the Licensed Material that could lawfully
+     be made without permission under this Public License.
+
+  b. To the extent possible, if any provision of this Public License is
+     deemed unenforceable, it shall be automatically reformed to the
+     minimum extent necessary to make it enforceable. If the provision
+     cannot be reformed, it shall be severed from this Public License
+     without affecting the enforceability of the remaining terms and
+     conditions.
+
+  c. No term or condition of this Public License will be waived and no
+     failure to comply consented to unless expressly agreed to by the
+     Licensor.
+
+  d. Nothing in this Public License constitutes or may be interpreted
+     as a limitation upon, or waiver of, any privileges and immunities
+     that apply to the Licensor or You, including from the legal
+     processes of any jurisdiction or authority.
+
+
+=======================================================================
+
+Creative Commons is not a party to its public
+licenses. Notwithstanding, Creative Commons may elect to apply one of
+its public licenses to material it publishes and in those instances
+will be considered the “Licensor.” The text of the Creative Commons
+public licenses is dedicated to the public domain under the CC0 Public
+Domain Dedication. Except for the limited purpose of indicating that
+material is shared under a Creative Commons public license or as
+otherwise permitted by the Creative Commons policies published at
+creativecommons.org/policies, Creative Commons does not authorize the
+use of the trademark "Creative Commons" or any other trademark or logo
+of Creative Commons without its prior written consent including,
+without limitation, in connection with any unauthorized modifications
+to any of its public licenses or any other arrangements,
+understandings, or agreements concerning use of licensed material. For
+the avoidance of doubt, this paragraph does not form part of the
+public licenses.
+
+Creative Commons may be contacted at creativecommons.org.
+

licenses/TOPv2-CC-BY-SA-4.0.txt

@@ -0,0 +1,428 @@
+Attribution-ShareAlike 4.0 International
+
+=======================================================================
+
+Creative Commons Corporation ("Creative Commons") is not a law firm and
+does not provide legal services or legal advice. Distribution of
+Creative Commons public licenses does not create a lawyer-client or
+other relationship. Creative Commons makes its licenses and related
+information available on an "as-is" basis. Creative Commons gives no
+warranties regarding its licenses, any material licensed under their
+terms and conditions, or any related information. Creative Commons
+disclaims all liability for damages resulting from their use to the
+fullest extent possible.
+
+Using Creative Commons Public Licenses
+
+Creative Commons public licenses provide a standard set of terms and
+conditions that creators and other rights holders may use to share
+original works of authorship and other material subject to copyright
+and certain other rights specified in the public license below. The
+following considerations are for informational purposes only, are not
+exhaustive, and do not form part of our licenses.
+
+     Considerations for licensors: Our public licenses are
+     intended for use by those authorized to give the public
+     permission to use material in ways otherwise restricted by
+     copyright and certain other rights. Our licenses are
+     irrevocable. Licensors should read and understand the terms
+     and conditions of the license they choose before applying it.
+     Licensors should also secure all rights necessary before
+     applying our licenses so that the public can reuse the
+     material as expected. Licensors should clearly mark any
+     material not subject to the license. This includes other CC-
+     licensed material, or material used under an exception or
+     limitation to copyright. More considerations for licensors:
+    wiki.creativecommons.org/Considerations_for_licensors
+
+     Considerations for the public: By using one of our public
+     licenses, a licensor grants the public permission to use the
+     licensed material under specified terms and conditions. If
+     the licensor's permission is not necessary for any reason--for
+     example, because of any applicable exception or limitation to
+     copyright--then that use is not regulated by the license. Our
+     licenses grant only permissions under copyright and certain
+     other rights that a licensor has authority to grant. Use of
+     the licensed material may still be restricted for other
+     reasons, including because others have copyright or other
+     rights in the material. A licensor may make special requests,
+     such as asking that all changes be marked or described.
+     Although not required by our licenses, you are encouraged to
+     respect those requests where reasonable. More considerations
+     for the public:
+    wiki.creativecommons.org/Considerations_for_licensees
+
+=======================================================================
+
+Creative Commons Attribution-ShareAlike 4.0 International Public
+License
+
+By exercising the Licensed Rights (defined below), You accept and agree
+to be bound by the terms and conditions of this Creative Commons
+Attribution-ShareAlike 4.0 International Public License ("Public
+License"). To the extent this Public License may be interpreted as a
+contract, You are granted the Licensed Rights in consideration of Your
+acceptance of these terms and conditions, and the Licensor grants You
+such rights in consideration of benefits the Licensor receives from
+making the Licensed Material available under these terms and
+conditions.
+
+
+Section 1 -- Definitions.
+
+  a. Adapted Material means material subject to Copyright and Similar
+     Rights that is derived from or based upon the Licensed Material
+     and in which the Licensed Material is translated, altered,
+     arranged, transformed, or otherwise modified in a manner requiring
+     permission under the Copyright and Similar Rights held by the
+     Licensor. For purposes of this Public License, where the Licensed
+     Material is a musical work, performance, or sound recording,
+     Adapted Material is always produced where the Licensed Material is
+     synched in timed relation with a moving image.
+
+  b. Adapter's License means the license You apply to Your Copyright
+     and Similar Rights in Your contributions to Adapted Material in
+     accordance with the terms and conditions of this Public License.
+
+  c. BY-SA Compatible License means a license listed at
+     creativecommons.org/compatiblelicenses, approved by Creative
+     Commons as essentially the equivalent of this Public License.
+
+  d. Copyright and Similar Rights means copyright and/or similar rights
+     closely related to copyright including, without limitation,
+     performance, broadcast, sound recording, and Sui Generis Database
+     Rights, without regard to how the rights are labeled or
+     categorized. For purposes of this Public License, the rights
+     specified in Section 2(b)(1)-(2) are not Copyright and Similar
+     Rights.
+
+  e. Effective Technological Measures means those measures that, in the
+     absence of proper authority, may not be circumvented under laws
+     fulfilling obligations under Article 11 of the WIPO Copyright
+     Treaty adopted on December 20, 1996, and/or similar international
+     agreements.
+
+  f. Exceptions and Limitations means fair use, fair dealing, and/or
+     any other exception or limitation to Copyright and Similar Rights
+     that applies to Your use of the Licensed Material.
+
+  g. License Elements means the license attributes listed in the name
+     of a Creative Commons Public License. The License Elements of this
+     Public License are Attribution and ShareAlike.
+
+  h. Licensed Material means the artistic or literary work, database,
+     or other material to which the Licensor applied this Public
+     License.
+
+  i. Licensed Rights means the rights granted to You subject to the
+     terms and conditions of this Public License, which are limited to
+     all Copyright and Similar Rights that apply to Your use of the
+     Licensed Material and that the Licensor has authority to license.
+
+  j. Licensor means the individual(s) or entity(ies) granting rights
+     under this Public License.
+
+  k. Share means to provide material to the public by any means or
+     process that requires permission under the Licensed Rights, such
+     as reproduction, public display, public performance, distribution,
+     dissemination, communication, or importation, and to make material
+     available to the public including in ways that members of the
+     public may access the material from a place and at a time
+     individually chosen by them.
+
+  l. Sui Generis Database Rights means rights other than copyright
+     resulting from Directive 96/9/EC of the European Parliament and of
+     the Council of 11 March 1996 on the legal protection of databases,
+     as amended and/or succeeded, as well as other essentially
+     equivalent rights anywhere in the world.
+
+  m. You means the individual or entity exercising the Licensed Rights
+     under this Public License. Your has a corresponding meaning.
+
+
+Section 2 -- Scope.
+
+  a. License grant.
+
+       1. Subject to the terms and conditions of this Public License,
+          the Licensor hereby grants You a worldwide, royalty-free,
+          non-sublicensable, non-exclusive, irrevocable license to
+          exercise the Licensed Rights in the Licensed Material to:
+
+            a. reproduce and Share the Licensed Material, in whole or
+               in part; and
+
+            b. produce, reproduce, and Share Adapted Material.
+
+       2. Exceptions and Limitations. For the avoidance of doubt, where
+          Exceptions and Limitations apply to Your use, this Public
+          License does not apply, and You do not need to comply with
+          its terms and conditions.
+
+       3. Term. The term of this Public License is specified in Section
+          6(a).
+
+       4. Media and formats; technical modifications allowed. The
+          Licensor authorizes You to exercise the Licensed Rights in
+          all media and formats whether now known or hereafter created,
+          and to make technical modifications necessary to do so. The
+          Licensor waives and/or agrees not to assert any right or
+          authority to forbid You from making technical modifications
+          necessary to exercise the Licensed Rights, including
+          technical modifications necessary to circumvent Effective
+          Technological Measures. For purposes of this Public License,
+          simply making modifications authorized by this Section 2(a)
+          (4) never produces Adapted Material.
+
+       5. Downstream recipients.
+
+            a. Offer from the Licensor -- Licensed Material. Every
+               recipient of the Licensed Material automatically
+               receives an offer from the Licensor to exercise the
+               Licensed Rights under the terms and conditions of this
+               Public License.
+
+            b. Additional offer from the Licensor -- Adapted Material.
+               Every recipient of Adapted Material from You
+               automatically receives an offer from the Licensor to
+               exercise the Licensed Rights in the Adapted Material
+               under the conditions of the Adapter's License You apply.
+
+            c. No downstream restrictions. You may not offer or impose
+               any additional or different terms or conditions on, or
+               apply any Effective Technological Measures to, the
+               Licensed Material if doing so restricts exercise of the
+               Licensed Rights by any recipient of the Licensed
+               Material.
+
+       6. No endorsement. Nothing in this Public License constitutes or
+          may be construed as permission to assert or imply that You
+          are, or that Your use of the Licensed Material is, connected
+          with, or sponsored, endorsed, or granted official status by,
+          the Licensor or others designated to receive attribution as
+          provided in Section 3(a)(1)(A)(i).
+
+  b. Other rights.
+
+       1. Moral rights, such as the right of integrity, are not
+          licensed under this Public License, nor are publicity,
+          privacy, and/or other similar personality rights; however, to
+          the extent possible, the Licensor waives and/or agrees not to
+          assert any such rights held by the Licensor to the limited
+          extent necessary to allow You to exercise the Licensed
+          Rights, but not otherwise.
+
+       2. Patent and trademark rights are not licensed under this
+          Public License.
+
+       3. To the extent possible, the Licensor waives any right to
+          collect royalties from You for the exercise of the Licensed
+          Rights, whether directly or through a collecting society
+          under any voluntary or waivable statutory or compulsory
+          licensing scheme. In all other cases the Licensor expressly
+          reserves any right to collect such royalties.
+
+
+Section 3 -- License Conditions.
+
+Your exercise of the Licensed Rights is expressly made subject to the
+following conditions.
+
+  a. Attribution.
+
+       1. If You Share the Licensed Material (including in modified
+          form), You must:
+
+            a. retain the following if it is supplied by the Licensor
+               with the Licensed Material:
+
+                 i. identification of the creator(s) of the Licensed
+                    Material and any others designated to receive
+                    attribution, in any reasonable manner requested by
+                    the Licensor (including by pseudonym if
+                    designated);
+
+                ii. a copyright notice;
+
+               iii. a notice that refers to this Public License;
+
+                iv. a notice that refers to the disclaimer of
+                    warranties;
+
+                 v. a URI or hyperlink to the Licensed Material to the
+                    extent reasonably practicable;
+
+            b. indicate if You modified the Licensed Material and
+               retain an indication of any previous modifications; and
+
+            c. indicate the Licensed Material is licensed under this
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