Keep only v3 and make choice_v3 the default dataset

Remove 19 obsolete original/v2 dataset files and all six old configurations, plus superseded cards, catalogs and audits. Keep all 23 v3 Parquet files unchanged. Move inherited input evidence under v3, preserve source license notices and attribution, and update the card, provenance links and loading checks. Default loading, explicit v3 views, rejected obsolete configurations, document links and unchanged data hashes were verified before this atomic commit.

LICENSE.md

@@ -1,6 +1,6 @@
 # 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.
+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/v3/input_manifest.json) accompany this notice.
 
 | Component | Attribution | Applicable terms and source |
 |---|---|---|
@@ -10,12 +10,28 @@ FastBrain-Instruct is a collection of upstream material and adaptations. Each co
 | 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 v3 adaptation includes 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`.
+## Retained replay and recovered-source attribution
 
-## v3 additions and modifications
+The following sources contribute to `legacy_replay_v3` or the native Hermes view, and therefore also to the corresponding integrated v3 choice records where eligible. These notices preserve the source links and terms recorded in the original attribution. Removing superseded FastBrain release files does not remove upstream rights or attribution.
+
+| Component | Attribution | Applicable terms and source |
+|---|---|---|
+| Schema-Guided Dialogue (SGD) | Google Research; Rastogi et al., AAAI 2020 | CC BY-SA 4.0; [original source and notices](https://github.com/google-research-datasets/dstc8-schema-guided-dialogue) |
+| MASSIVE English intents | Amazon Science; FitzGerald et al., 2022 | CC BY 4.0; [original source](https://huggingface.co/datasets/AmazonScience/massive), via [the intent mirror](https://huggingface.co/datasets/mteb/amazon_massive_intent) |
+| Glaive Function Calling v2 | Glaive AI | Apache 2.0 as recorded in the original attribution; [source and terms](https://huggingface.co/datasets/glaiveai/glaive-function-calling-v2) |
+| Hermes Function Calling v1, including recovered requests, schemas and call sets | NousResearch | Apache 2.0 as recorded in the original attribution; [source and terms](https://huggingface.co/datasets/NousResearch/hermes-function-calling-v1); [pinned row mapping](curation/v3/hermes_source_mapping.json) |
+| NL2Bash | Lin et al., LREC 2018; Hugging Face mirror by AnishJoshi | Consult the [source terms](https://huggingface.co/datasets/AnishJoshi/nl2bash-custom); no new license is assigned here |
+| Git natural-language commands | burak29 | Consult the [source terms](https://huggingface.co/datasets/burak29/git-natural-language-commands); no new license is assigned here |
+| DevOps / terminal templates | FastBrain-Instruct maintainer | Apache 2.0, as recorded in the original attribution |
+
+This release does not resolve unspecified legacy-source terms. NVIDIA / Maziyar Panahi attribution and terms are retained in the component table above. Glaive and Nemotron source material includes synthetic generation. All applicable upstream terms continue to apply.
+
+## Modifications and HINT3 attribution
 
 The repaired semantic descriptions, conflict catalog and MTOP/TOPv2 examples retain CC BY-SA 4.0. Recovered Hermes requests, call sets and schemas retain the original NousResearch source terms; native Nemotron tool schemas retain the NVIDIA component terms listed above. Repairs include filtering, descriptor clarification, candidate regeneration, source recovery, additional group reservations and explicit supervision masks. These changes do not certify upstream outputs or imply author endorsement.
 
 HINT3 v2 (Curekart and SOFMattress), by Haptik and Gaurav Arora, Chirag Jain, Manas Chaturvedi and Krupal Modi, is provided as a separate native auxiliary database. The database is under ODbL 1.0 and individual contents under DbCL 1.0. The adapted HINT3 view retains those terms. See the [verbatim original notice](licenses/HINT3-ODbL-DbCL.txt), [attribution and source links](licenses/HINT3-attribution.md), and [pinned file hashes](curation/v3/hint3_source_manifest.json). HINT3 labels are not silently relicensed as MIT or merged into the choice catalog.
+
+The [inherited source-acquisition manifest](audit/v3/inherited_source_manifest.json) preserves the earlier acquisition revisions and hashes. It is provenance for v3, not a separate downloadable FastBrain release.

README.md

@@ -35,53 +35,6 @@ source_datasets:
 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
 - config_name: choice_v3
   data_files:
   - split: train
@@ -90,6 +43,7 @@ configs:
     path: data/choice_v3/validation.parquet
   - split: test
     path: data/choice_v3/test.parquet
+  default: true
 - config_name: legacy_replay_v3
   data_files:
   - split: train
@@ -148,19 +102,19 @@ configs:
 
 # FastBrain-Instruct
 
-The **2026-10-14 v3** release repairs documented supervision and evaluation defects in v2. It regenerates semantic candidate pairs, restores full Hermes requests and native call sets, recovers Nemotron schemas, restores legacy validation, and disables unsupported NLU++ Boolean labels. Model training and capability-retention experiments have not been run for this release.
+**v3 is the only release available on the current `main` branch.** The default configuration is `choice_v3`. The **2026-10-14 v3** data repairs previously documented supervision and evaluation defects. It regenerates semantic candidate pairs, restores full Hermes requests and native call sets, recovers Nemotron schemas, restores legacy validation, and disables unsupported NLU++ Boolean labels. Model training and capability-retention experiments have not been run for this release.
 
 ```python
 from datasets import load_dataset
 
-ds = load_dataset("TypeScript/FastBrain-Instruct", "choice_v3")
+ds = load_dataset("TypeScript/FastBrain-Instruct")  # choice_v3
 ```
 
 ## Configurations
 
 | Config | Train | Validation | Test | Purpose |
 |---|---:|---:|---:|---|
-| `choice_v3` | 113,163 | 9,505 | 21,502 | Integrated repaired choice corpus; recommended for the choice head |
+| `choice_v3` (default) | 113,163 | 9,505 | 21,502 | Integrated repaired choice corpus for the choice head |
 | `legacy_replay_v3` | 61,131 | 825 | 7,181 | Legacy coarse routing and restored Hermes single-call choices |
 | `semantic_v3` | 26,922 | 7,230 | 12,220 | Regenerated MTOP/TOPv2 candidate-relative match/no-match pairs |
 | `tool_context_v3` | 25,110 | 1,450 | 2,101 | Observed Funcdex/Nemotron tool choices with available full schemas |
@@ -168,12 +122,10 @@ ds = load_dataset("TypeScript/FastBrain-Instruct", "choice_v3")
 | `hermes_actions_v3` | 868 | 24 | 123 | Native observed call sets; separate auxiliary task |
 | `nlupp_hotels_v3` | 765 | 97 | 98 | Native multi-label intents and masked slot values; separate auxiliary task |
 | `hint3_native_v3` | 801 | 68 | 1,348 | Native brand-relative intent/OOS labels; separate auxiliary task |
-| `default` | 97,450 | — | 10,828 | Frozen original release |
-| `choice_v2` | 116,440 | 8,206 | 24,639 | Frozen previous integrated release |
 
 `legacy_replay_v3`, `semantic_v3`, and `tool_context_v3` are exact subsets of `choice_v3`. **Do not concatenate these subsets with the integrated config.** `tool_environment_holdout_v3` overlaps the tool validation/test splits. All three native auxiliary configs have their own schema and are not automatic choice-head training data. Some native Hermes single-call observations also appear in the choice view; `included_in_choice_v3` records this overlap.
 
-Calling `load_dataset("TypeScript/FastBrain-Instruct")` still loads `default`. All original and v2 data files remain unchanged from [the pre-repair revision](https://huggingface.co/datasets/TypeScript/FastBrain-Instruct/tree/11e6f657f6d8830da230d4e49c65d0f67f106585). The [v2 data card](docs/v2-data-card.md) is archived; its known defects are addressed by the explicit v3 configs, not by silently replacing old splits.
+Omitting the configuration is equivalent to specifying `"choice_v3"`. All eight configurations belong to the same v3 release; they separate task schemas and evaluation views. Earlier release data, configurations and data cards have been removed from `main`.
 
 ## Repairs and evidence
 
@@ -194,7 +146,7 @@ For observed tool records, `target` is the source-observed action and `acceptabl
 
 ## Evaluation and retention
 
-The v3 test has changed requests, descriptions, candidates and filtering; its accuracy is not directly comparable to v2 accuracy. Preserve old regression runs on frozen files, and re-evaluate both the baseline head and candidate head on the same v3 protocol.
+Evaluate both the baseline head and candidate head on the same fixed v3 protocol. Historical results from earlier data are not directly comparable because requests, descriptions, candidates and filtering changed.
 
 The additional Nemotron environment holdout reserves 23 validation and 23 test policy/catalog groups absent from v3 tool training. Existing in-environment validation/test remains in `tool_context_v3` and is identified by provenance. This is exact policy/catalog grouping within this dataset, not proof that a previous model has never seen the public source or semantically similar workflows.
 
@@ -204,8 +156,10 @@ Use [fixed evaluation membership](curation/v3/evaluation_membership.jsonl.gz), [
 
 ## Provenance, exclusions and limitations
 
-[Release counts and hashes](audit/v3/release_summary.json) · [Validation](audit/v3/validation.json) · [Repair recipe](docs/curation-v3.md) · [Input evidence](audit/v3/input_manifest.json) · [Quarantine ledger](curation/v3/quarantine.jsonl.gz) · [Historical membership](curation/v3/historical_holdout_membership.json) · [Licenses](LICENSE.md)
+[Release counts and hashes](audit/v3/release_summary.json) · [Validation](audit/v3/validation.json) · [Loading checks](audit/v3/loading_validation.json) · [Repair recipe](docs/curation-v3.md) · [Input evidence](audit/v3/input_manifest.json) · [Quarantine ledger](curation/v3/quarantine.jsonl.gz) · [Historical membership](curation/v3/historical_holdout_membership.json) · [Licenses](LICENSE.md)
 
 The quarantine ledger distinguishes quarantined rows, split reservations, deduplication and records retained in a separate task. It is audit data, not a training config; its row count is not a label-error rate. Native source text and original labels remain available for traceability.
 
 Existing excluded source families/benchmarks remain excluded. Finance filtering is scoped and recorded: it does not establish that every legacy row is finance-free. Ordinary retail price, refund and cash-on-delivery questions are not automatically equated with banking. The semantic 1:1 present/absent construction is an artificial sampling ratio, not a deployment prior. This release does not establish real no-call/clarification policy competence, exhaustive semantic correctness, human gold annotation, or a model-quality gain.
+
+Source acquisition records, source versions and historical input IDs are retained as provenance under `audit/v3` and `curation/v3`. They are not additional dataset releases. The upstream names TOPv2, HINT3 v2, Glaive v2 and Hermes v1 identify their original sources.

audit/artifact_manifest.json

@@ -1,231 +0,0 @@
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-      "path": "licenses/Funcdex-MIT.txt",
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-      "sha256": "37f8608bdbc342d51052582f5606da78bb6a543e7191e3b8a5bb32a26dcb87ff"
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-      "bytes": 20138,
-      "sha256": "3b2890eacd851373001c4a14623458e3adaf1b1967939aa9c38a318e28d61c00"
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-    }
-  ],
-  "self_excluded": true
-}

audit/funcdex.json

@@ -1,92 +0,0 @@
-{
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-    "review_policy_prerequisites_missing": 1,
-    "conversation_arguments_fail_tool_schema": 623,
-    "review_synthetic_no_input_scaffold": 11,
-    "benchmark_overlap_conversation": 199,
-    "no_call_not_mapped_to_none": 60,
-    "legacy_query_overlap_conversation": 10,
-    "financial_toolkit_excluded": 123,
-    "review_invented_tool_result_and_role_confusion": 1,
-    "duplicate_tool_name": 8,
-    "input_conversations_test": 300,
-    "conversation_unknown_tool": 1,
-    "kept_conversations_test": 125,
-    "kept_conversations_train": 555,
-    "kept_conversations_validation": 70
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-  "quality_override_version": "2026-10-14-train-sample-review-1",
-  "reviewed_pattern_quarantine": [
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-      "source_split": "train",
-      "file_row": 0,
-      "reason": "review_policy_prerequisites_missing"
-    },
-    {
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-      "reason": "review_synthetic_no_input_scaffold"
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-      "reason": "review_synthetic_no_input_scaffold"
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-      "reason": "review_invented_tool_result_and_role_confusion"
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-  "excluded_financial_toolkits": [
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-  ],
-  "interpretation": "A single observed expert action is not proof that all alternative actions are invalid.",
-  "no_call_examples_relabelled_as_no_match": 0
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audit/legacy_replay.json

@@ -1,13 +0,0 @@
-{
-  "filters": {
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-    "historical_holdout_query": 1025,
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-  "original_test_rows": 10828,
-  "new_replay_rows": 63223,
-  "legacy_test_core_fields_preserved": true,
-  "caveat": "Legacy sources other than mapped Nemotron lack original dialogue IDs; query-level isolation does not prove dialogue-level isolation for them."
-}

audit/loading_validation.json

@@ -1,37 +0,0 @@
-{
-  "status": "pass",
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-  "known_runtime_content_scan": "pass",
-  "card_default": "default"
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audit/nemotron.json

@@ -1,143 +0,0 @@
-{
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audit/nemotron_context_repair_summary.json

@@ -1,98 +0,0 @@
-{
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-      "message_keys": [
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-}

audit/nlupp_hotels.json

@@ -1,31 +0,0 @@
-{
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-  "fold_policy": "0-15 train, 16-17 validation, 18-19 test; remove conflicts and cross-split template matches"
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audit/release_summary.json

@@ -1,374 +0,0 @@
-{
-  "version": "2026-10-14-v2",
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-          "observed_single_call_schema_validated": 4010
-        },
-        "candidate_counts": {
-          "9": 68,
-          "10": 70,
-          "11": 178,
-          "12": 552,
-          "13": 1378,
-          "14": 1402,
-          "15": 1735,
-          "16": 2492,
-          "17": 3027,
-          "18": 2809,
-          "19": 2751,
-          "20": 5601,
-          "21": 1330,
-          "22": 1172,
-          "23": 849,
-          "24": 421,
-          "25": 64,
-          "26": 64,
-          "27": 80,
-          "28": 133,
-          "29": 11,
-          "30": 54
-        },
-        "rejection_rows": 0
-      },
-      "validation": {
-        "rows": 976,
-        "bytes": 3310794,
-        "sha256": "a24ce014f37b529c76fcab41cf54d01baae0c10d5e9fb652a8351a75870450a9",
-        "parents": 356,
-        "sources": {
-          "nemotron_agentic": 531,
-          "funcdex": 445
-        },
-        "labels": {
-          "observed_single_call_policy_restored": 531,
-          "observed_single_call_schema_validated": 445
-        },
-        "candidate_counts": {
-          "10": 7,
-          "11": 10,
-          "12": 19,
-          "13": 46,
-          "14": 17,
-          "15": 51,
-          "16": 86,
-          "17": 81,
-          "18": 55,
-          "19": 50,
-          "20": 474,
-          "21": 27,
-          "22": 24,
-          "23": 13,
-          "24": 8,
-          "25": 3,
-          "27": 5
-        },
-        "rejection_rows": 0
-      },
-      "test": {
-        "rows": 1583,
-        "bytes": 5462410,
-        "sha256": "a92caa2099fd1971b2e7463eb1adaee5dff8c553d57ad657665dc2b39599c2e4",
-        "parents": 383,
-        "sources": {
-          "funcdex": 1070,
-          "nemotron_agentic": 513
-        },
-        "labels": {
-          "observed_single_call_schema_validated": 1070,
-          "observed_single_call_policy_restored": 513
-        },
-        "candidate_counts": {
-          "9": 3,
-          "11": 8,
-          "12": 12,
-          "13": 19,
-          "14": 55,
-          "15": 29,
-          "16": 56,
-          "17": 75,
-          "18": 65,
-          "19": 54,
-          "20": 1108,
-          "21": 28,
-          "22": 33,
-          "23": 19,
-          "24": 5,
-          "27": 5,
-          "28": 5,
-          "30": 4
-        },
-        "rejection_rows": 0
-      }
-    },
-    "nlupp_hotels_v2": {
-      "test": {
-        "rows": 98,
-        "bytes": 26163,
-        "sha256": "3f2411b8b8d09a849ff18770b80a55f838b0b341ca1d85cacc7509137287485a"
-      },
-      "validation": {
-        "rows": 97,
-        "bytes": 26548,
-        "sha256": "fdfb7c6e6fa31ac7d7e68d5d64879b4d649a6178a4119559d9cb887eabcb028c"
-      },
-      "train": {
-        "rows": 765,
-        "bytes": 80416,
-        "sha256": "a5de0958573a25aa2e1dcb79b67a7b972f6e20a93087e31734663e2ff0ed8ae7"
-      }
-    },
-    "semantic_original_labels": {
-      "train": {
-        "rows": 21966,
-        "bytes": 2553377,
-        "sha256": "00b240e16669759f18d3933bfba46638117caffa73c3f933ed4d8a688a337acf"
-      },
-      "validation": {
-        "rows": 3151,
-        "bytes": 383663,
-        "sha256": "615f539c1be79fc22f5e261d2d50dbb8e49d49e949f86682c5f8f5769fc4c5f2"
-      },
-      "test": {
-        "rows": 9131,
-        "bytes": 1019292,
-        "sha256": "57e6827626f141a5110e1758f0aea5940d3f592655d77c3e021a92cd0aafb229"
-      }
-    }
-  },
-  "original_files_modified": [],
-  "source_test_promoted_to_train": false,
-  "counts_note": "Configs are overlapping views. Do not sum choice_v2 with its semantic/tool subsets.",
-  "full_human_annotation_performed": false,
-  "training_experiments_run": false
-}

audit/{source_manifest.json → v3/inherited_source_manifest.json}

@@ -1,5 +1,4 @@
 {
-  "release": "2026-10-14-v2",
   "source_revisions": [
     {
       "repo": "WillHeld/mtop",
@@ -383,7 +382,43 @@
       "url": "https://raw.githubusercontent.com/PolyAI-LDN/task-specific-datasets/57ec275d8078af65b7731c2a98be812d844a6d6b/nlupp/data/ontology.json"
     }
   ],
-  "preserved_baseline": {
+  "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/v3/exclusion_manifest.json",
+  "exclusion_family_policy": "curation/v3/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.",
+  "input_acquisition_release": "2026-10-14-v2",
+  "historical_input_baseline": {
     "repo": "TypeScript/FastBrain-Instruct",
     "revision": "a84ea0337a424e287dc6f36f6b9fa320fb920fb0",
     "files": [
@@ -441,39 +476,11 @@
       }
     ]
   },
-  "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
+  "role": "Inherited source-acquisition evidence for v3; baseline file entries describe historical inputs, not available current files.",
+  "acquisition_manifest_origin": {
+    "repo": "TypeScript/FastBrain-Instruct",
+    "revision": "0e1ce343e3d23291914ef624186f3f4b11017009",
+    "path": "audit/source_manifest.json"
   },
-  "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."
+  "current_repair_inputs": "audit/v3/input_manifest.json"
 }

audit/v3/input_manifest.json

@@ -69,7 +69,7 @@
   "source_links": {
     "hermes": "curation/v3/hermes_source_mapping.json",
     "hint3": "curation/v3/hint3_source_manifest.json",
-    "other_upstream_sources": "audit/source_manifest.json"
+    "other_upstream_sources": "audit/v3/inherited_source_manifest.json"
   },
   "primary_nemotron": {
     "repo": "nvidia/Nemotron-SFT-Agentic-v2",
@@ -79,5 +79,6 @@
     "recovered_native_parents": 10810,
     "recovered_source_steps": 23275
   },
-  "reproducibility_note": "Evidence hashes identify the local pinned-source research artifacts. Per-row published provenance carries native locators; original source files remain at the linked pinned revisions."
+  "reproducibility_note": "Evidence hashes identify the local pinned-source research artifacts. Per-row published provenance carries native locators; original source files remain at the linked pinned revisions.",
+  "historical_input_note": "Earlier dataset revisions are provenance only; the current main branch distributes only v3 configurations."
 }

audit/v3/loading_validation.json

@@ -1,12 +1,7 @@
 {
   "status": "pass",
+  "checked_on": "2026-10-15",
   "available_configurations": [
-    "default",
-    "choice_v2",
-    "semantic_v2",
-    "tool_context_v2",
-    "nlupp_hotels_v2",
-    "semantic_original_labels",
     "choice_v3",
     "legacy_replay_v3",
     "semantic_v3",
@@ -16,47 +11,117 @@
     "nlupp_hotels_v3",
     "hint3_native_v3"
   ],
-  "full_local_load": {
-    "choice_v3": {
-      "train": 113163,
-      "validation": 9505,
-      "test": 21502
-    },
+  "default_configuration": "choice_v3",
+  "default_full_load": {
+    "train": 113163,
+    "validation": 9505,
+    "test": 21502
+  },
+  "explicit_choice_matches_default": true,
+  "explicit_v3_views": {
     "legacy_replay_v3": {
-      "train": 61131,
-      "validation": 825,
-      "test": 7181
+      "train": {
+        "first_row_matches_parquet": true,
+        "rows_from_parquet_metadata": 61131
+      },
+      "validation": {
+        "first_row_matches_parquet": true,
+        "rows_from_parquet_metadata": 825
+      },
+      "test": {
+        "first_row_matches_parquet": true,
+        "rows_from_parquet_metadata": 7181
+      }
     },
     "semantic_v3": {
-      "train": 26922,
-      "validation": 7230,
-      "test": 12220
+      "train": {
+        "first_row_matches_parquet": true,
+        "rows_from_parquet_metadata": 26922
+      },
+      "validation": {
+        "first_row_matches_parquet": true,
+        "rows_from_parquet_metadata": 7230
+      },
+      "test": {
+        "first_row_matches_parquet": true,
+        "rows_from_parquet_metadata": 12220
+      }
     },
     "tool_context_v3": {
-      "train": 25110,
-      "validation": 1450,
-      "test": 2101
+      "train": {
+        "first_row_matches_parquet": true,
+        "rows_from_parquet_metadata": 25110
+      },
+      "validation": {
+        "first_row_matches_parquet": true,
+        "rows_from_parquet_metadata": 1450
+      },
+      "test": {
+        "first_row_matches_parquet": true,
+        "rows_from_parquet_metadata": 2101
+      }
     },
     "tool_environment_holdout_v3": {
-      "validation": 534,
-      "test": 561
+      "validation": {
+        "first_row_matches_parquet": true,
+        "rows_from_parquet_metadata": 534
+      },
+      "test": {
+        "first_row_matches_parquet": true,
+        "rows_from_parquet_metadata": 561
+      }
     },
     "hermes_actions_v3": {
-      "train": 868,
-      "validation": 24,
-      "test": 123
+      "train": {
+        "first_row_matches_parquet": true,
+        "rows_from_parquet_metadata": 868
+      },
+      "validation": {
+        "first_row_matches_parquet": true,
+        "rows_from_parquet_metadata": 24
+      },
+      "test": {
+        "first_row_matches_parquet": true,
+        "rows_from_parquet_metadata": 123
+      }
     },
     "nlupp_hotels_v3": {
-      "train": 765,
-      "validation": 97,
-      "test": 98
+      "train": {
+        "first_row_matches_parquet": true,
+        "rows_from_parquet_metadata": 765
+      },
+      "validation": {
+        "first_row_matches_parquet": true,
+        "rows_from_parquet_metadata": 97
+      },
+      "test": {
+        "first_row_matches_parquet": true,
+        "rows_from_parquet_metadata": 98
+      }
     },
     "hint3_native_v3": {
-      "train": 801,
-      "validation": 68,
-      "test": 1348
+      "train": {
+        "first_row_matches_parquet": true,
+        "rows_from_parquet_metadata": 801
+      },
+      "validation": {
+        "first_row_matches_parquet": true,
+        "rows_from_parquet_metadata": 68
+      },
+      "test": {
+        "first_row_matches_parquet": true,
+        "rows_from_parquet_metadata": 1348
+      }
     }
   },
-  "method": "datasets.load_dataset on merged immutable old/new local snapshot",
-  "input_revision": "11e6f657f6d8830da230d4e49c65d0f67f106585"
+  "rejected_configurations": [
+    "default",
+    "choice_v2",
+    "semantic_v2",
+    "tool_context_v2",
+    "nlupp_hotels_v2",
+    "semantic_original_labels"
+  ],
+  "method": "datasets default full load, explicit choice identity, and per-split previews for other v3 views on the v3-only snapshot",
+  "unchanged_v3_data_revision": "0e1ce343e3d23291914ef624186f3f4b11017009"
 }

audit/v3/release_summary.json

@@ -535,10 +535,17 @@
     }
   },
   "counts_note": "choice_v3 contains exactly the legacy_replay_v3, semantic_v3 and tool_context_v3 views; environment holdouts overlap the tools view. Auxiliary configs are not concatenated automatically.",
-  "old_data_files_modified": [],
   "no_training_experiments_run": true,
   "no_human_gold_annotation_claim": true,
   "fixed_evaluation_membership_sha256": "b2ee4187546f5326bfb20de788290f445459f903e14098001405e1b7b5c6a0ff",
   "legacy_native_split_isolation": false,
-  "new_source_test_promoted_to_train": false
+  "new_source_test_promoted_to_train": false,
+  "distribution": {
+    "available_versions": [
+      "v3"
+    ],
+    "default_configuration": "choice_v3",
+    "v3_dataset_bytes_unchanged_since_revision": "0e1ce343e3d23291914ef624186f3f4b11017009",
+    "current_branch_cleanup": "audit/v3/version_cleanup.json"
+  }
 }

audit/v3/version_cleanup.json

@@ -0,0 +1,187 @@
+{
+  "repo": "TypeScript/FastBrain-Instruct",
+  "parent_commit": "0e1ce343e3d23291914ef624186f3f4b11017009",
+  "available_versions": [
+    "v3"
+  ],
+  "default_configuration": "choice_v3",
+  "configurations": [
+    "choice_v3",
+    "legacy_replay_v3",
+    "semantic_v3",
+    "tool_context_v3",
+    "tool_environment_holdout_v3",
+    "hermes_actions_v3",
+    "nlupp_hotels_v3",
+    "hint3_native_v3"
+  ],
+  "removed_configurations": [
+    "default",
+    "choice_v2",
+    "semantic_v2",
+    "tool_context_v2",
+    "nlupp_hotels_v2",
+    "semantic_original_labels"
+  ],
+  "deleted_paths": [
+    "audit/artifact_manifest.json",
+    "audit/exclusion_manifest.json",
+    "audit/funcdex.json",
+    "audit/legacy_replay.json",
+    "audit/loading_validation.json",
+    "audit/nemotron.json",
+    "audit/nemotron_context_repair_summary.json",
+    "audit/nlupp_hotels.json",
+    "audit/release_summary.json",
+    "audit/semantic.json",
+    "audit/source_manifest.json",
+    "audit/validation.json",
+    "catalogs/nlupp_hotels_modules.json",
+    "catalogs/semantic_v2.json",
+    "curation/excluded_source_families.json",
+    "curation/exclusion_10grams.bin",
+    "curation/exclusion_exact.bin",
+    "curation/legacy_holdout_ids.json",
+    "curation/nemotron_canonical_lineage.jsonl.gz",
+    "curation/nemotron_reserved_parents.json",
+    "curation/quality_overrides.json",
+    "curation/semantic_ontology_review.json",
+    "curation/semantic_query_screening_rules.json",
+    "data/choice_v2/test.parquet",
+    "data/choice_v2/train.parquet",
+    "data/choice_v2/validation.parquet",
+    "data/nlupp_hotels_v2/test.parquet",
+    "data/nlupp_hotels_v2/train.parquet",
+    "data/nlupp_hotels_v2/validation.parquet",
+    "data/semantic_original_labels/test.parquet",
+    "data/semantic_original_labels/train.parquet",
+    "data/semantic_original_labels/validation.parquet",
+    "data/semantic_v2/test.parquet",
+    "data/semantic_v2/train.parquet",
+    "data/semantic_v2/validation.parquet",
+    "data/tool_context_v2/test.parquet",
+    "data/tool_context_v2/train.parquet",
+    "data/tool_context_v2/validation.parquet",
+    "docs/curation-v2.md",
+    "docs/legacy-data-card.md",
+    "docs/v2-data-card.md",
+    "test.jsonl",
+    "test.parquet",
+    "train.jsonl",
+    "train.parquet"
+  ],
+  "deleted_dataset_files": [
+    "data/choice_v2/test.parquet",
+    "data/choice_v2/train.parquet",
+    "data/choice_v2/validation.parquet",
+    "data/nlupp_hotels_v2/test.parquet",
+    "data/nlupp_hotels_v2/train.parquet",
+    "data/nlupp_hotels_v2/validation.parquet",
+    "data/semantic_original_labels/test.parquet",
+    "data/semantic_original_labels/train.parquet",
+    "data/semantic_original_labels/validation.parquet",
+    "data/semantic_v2/test.parquet",
+    "data/semantic_v2/train.parquet",
+    "data/semantic_v2/validation.parquet",
+    "data/tool_context_v2/test.parquet",
+    "data/tool_context_v2/train.parquet",
+    "data/tool_context_v2/validation.parquet",
+    "test.jsonl",
+    "test.parquet",
+    "train.jsonl",
+    "train.parquet"
+  ],
+  "deleted_superseded_metadata": [
+    "audit/artifact_manifest.json",
+    "audit/funcdex.json",
+    "audit/legacy_replay.json",
+    "audit/loading_validation.json",
+    "audit/nemotron.json",
+    "audit/nemotron_context_repair_summary.json",
+    "audit/nlupp_hotels.json",
+    "audit/release_summary.json",
+    "audit/semantic.json",
+    "audit/validation.json",
+    "catalogs/nlupp_hotels_modules.json",
+    "catalogs/semantic_v2.json",
+    "docs/curation-v2.md",
+    "docs/legacy-data-card.md",
+    "docs/v2-data-card.md"
+  ],
+  "relocated_input_evidence": {
+    "audit/source_manifest.json": "audit/v3/inherited_source_manifest.json",
+    "audit/exclusion_manifest.json": "audit/v3/exclusion_manifest.json",
+    "curation/excluded_source_families.json": "curation/v3/excluded_source_families.json",
+    "curation/exclusion_10grams.bin": "curation/v3/exclusion_10grams.bin",
+    "curation/exclusion_exact.bin": "curation/v3/exclusion_exact.bin",
+    "curation/legacy_holdout_ids.json": "curation/v3/inherited_inputs/legacy_holdout_ids.json",
+    "curation/nemotron_canonical_lineage.jsonl.gz": "curation/v3/inherited_inputs/nemotron_canonical_lineage.jsonl.gz",
+    "curation/nemotron_reserved_parents.json": "curation/v3/inherited_inputs/nemotron_reserved_parents.json",
+    "curation/quality_overrides.json": "curation/v3/inherited_inputs/quality_overrides.json",
+    "curation/semantic_ontology_review.json": "curation/v3/inherited_inputs/semantic_ontology_review.json",
+    "curation/semantic_query_screening_rules.json": "curation/v3/inherited_inputs/semantic_query_screening_rules.json"
+  },
+  "retained_dataset_files": [
+    "data/choice_v3/test.parquet",
+    "data/choice_v3/train.parquet",
+    "data/choice_v3/validation.parquet",
+    "data/hermes_actions_v3/test.parquet",
+    "data/hermes_actions_v3/train.parquet",
+    "data/hermes_actions_v3/validation.parquet",
+    "data/hint3_native_v3/test.parquet",
+    "data/hint3_native_v3/train.parquet",
+    "data/hint3_native_v3/validation.parquet",
+    "data/legacy_replay_v3/test.parquet",
+    "data/legacy_replay_v3/train.parquet",
+    "data/legacy_replay_v3/validation.parquet",
+    "data/nlupp_hotels_v3/test.parquet",
+    "data/nlupp_hotels_v3/train.parquet",
+    "data/nlupp_hotels_v3/validation.parquet",
+    "data/semantic_v3/test.parquet",
+    "data/semantic_v3/train.parquet",
+    "data/semantic_v3/validation.parquet",
+    "data/tool_context_v3/test.parquet",
+    "data/tool_context_v3/train.parquet",
+    "data/tool_context_v3/validation.parquet",
+    "data/tool_environment_holdout_v3/test.parquet",
+    "data/tool_environment_holdout_v3/validation.parquet"
+  ],
+  "history_rewrite": false,
+  "checked_on": "2026-10-15",
+  "status": "pass",
+  "checks": {
+    "only_v3_data_and_configs": "pass",
+    "default_and_explicit_loading": "pass",
+    "old_configurations_rejected": "pass",
+    "v3_data_hashes_unchanged": "pass",
+    "upstream_license_files_preserved": "pass",
+    "documentation_links": "pass"
+  },
+  "v3_data_sha256": {
+    "data/choice_v3/test.parquet": "a2645fa4468779772fc7569c5b70b23222e400f72c2b1d05e4b903d5ed81f9ee",
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+    "data/choice_v3/validation.parquet": "ff824bfffcc1a3f5bfcf3ac15d14df7ddb429f1d74ca5e35f2291827c20dfc61",
+    "data/hermes_actions_v3/test.parquet": "3227e75f589673a0a0269008d8b2761f379cd7a41159a931cd2ea05a0f49bcbe",
+    "data/hermes_actions_v3/train.parquet": "bf4e001ed82700ec73d48bfad64304517784c00a3c4ff4bd7533a1bf58d2e6f9",
+    "data/hermes_actions_v3/validation.parquet": "429cedc1b030a4b16bb818c41ffd80c8f5cfde7fb76fed61e474923379591dfe",
+    "data/hint3_native_v3/test.parquet": "fa4ea54984aff79bb1aa4b793051b0e9d554881f2c24028528c53b40881e8472",
+    "data/hint3_native_v3/train.parquet": "d789a0db0c2a5e70c3275569a05fa5993f60f4f1bf72dddb134ad219c0932291",
+    "data/hint3_native_v3/validation.parquet": "2da5a239515f0a8ac85454c19607a7184cb0e805476113d713ee06a2071b27c6",
+    "data/legacy_replay_v3/test.parquet": "a8fa27f305f8d50bc564b84652578a664bb82fb501930b7db081d9388da9edb6",
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+    "data/legacy_replay_v3/validation.parquet": "f1f24745eff42a5989e810272b8a5bf42d31f616f96ea77cb1fc109ad69c6695",
+    "data/nlupp_hotels_v3/test.parquet": "f95736ffdbc0353673a6e323bc39cad702494e7ee82e609f5fdb9bd3b98912f3",
+    "data/nlupp_hotels_v3/train.parquet": "d7b41fabbc83925de08f2e930392126e15d065bb4796f606880a02c6ab8e272d",
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+    "data/semantic_v3/test.parquet": "2a106193f9a32ce905dca30e2b3763ac967c34c81887f83b96e660652d390543",
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+    "data/semantic_v3/validation.parquet": "9160a88e709e74b6bf385894dba280ed3fca1102879448e23b52d65b41a7839b",
+    "data/tool_context_v3/test.parquet": "4d38b21265fafcfd0e6b32685ce501f0f7141545c0d6da73016a627be15ab1c1",
+    "data/tool_context_v3/train.parquet": "7ec090fb52e83b5d31638093b72fe5d17c3b48170f69be5ce024912ec49956ec",
+    "data/tool_context_v3/validation.parquet": "5c037c09d48adaeb7c34c1838049c8232dbc4c40fcc28d3195e21bccec1c7e4d",
+    "data/tool_environment_holdout_v3/test.parquet": "4e36c812a6b54a321a45fce805bef13c784b196a177db91c6fcfc87f6c251e1b",
+    "data/tool_environment_holdout_v3/validation.parquet": "916608566e8821f2a4fa1ae84566f031e28429041eeba7da5bd1733410841403"
+  },
+  "scope": "Current branch files and loading configuration; no repository-history rewrite or dataset-row changes.",
+  "checked_relative_document_links": 32
+}

audit/validation.json

@@ -1,119 +0,0 @@
-{
-  "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": {
-      "train": 26976,
-      "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

@@ -1,243 +0,0 @@
-{
-  "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/v3/evaluation_protocol.json

@@ -17,5 +17,5 @@
     "tools": "trajectory parent, with environment-cluster sensitivity analysis"
   },
   "small_sample_policy": "Report counts and uncertainty. Tiny DevOps/per-tool slices do not prove broad capability retention.",
-  "score_comparability": "Frozen default/v2 regression and cleaned v3 evaluation are different protocols."
+  "score_comparability": "Historical results from earlier data are not directly comparable. Re-evaluate baseline and candidate heads on the same fixed v3 inputs."
 }

data/choice_v2/test.parquet

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
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-size 16073139

data/choice_v2/train.parquet

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-version https://git-lfs.github.com/spec/v1
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-size 147905333

data/choice_v2/validation.parquet

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-size 6155824

data/nlupp_hotels_v2/test.parquet

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-size 26163

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-size 80416

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-size 26548

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data/semantic_original_labels/train.parquet

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-size 1708648

data/tool_context_v2/test.parquet

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docs/curation-v2.md

@@ -1,45 +0,0 @@
-# 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/curation-v3.md

@@ -19,3 +19,13 @@ The ledger has 2,524 entries: `{"deduplicated":8,"quarantine":426,"separate_task
 Checks establish structural consistency, known-defect handling, recorded partition rules and source recovery. They do not establish exhaustive semantic correctness, original-dialogue isolation for all legacy sources, independent unseen behavior of pretrained models, or preserved model accuracy. Argument schema validity is not execution validity.
 
 The current choice adapter uses published query text and candidate name/description only. Full schemas are retained separately for future reviewed adapters. HINT3, native NLU++ and Hermes call sets require their own objectives and evaluation. Do not count their rows or original label strings as new independent choice intents.
+
+## Current distribution and inherited input evidence
+
+The current branch publishes only v3. `choice_v3` is the default; all other configurations are typed views or auxiliary tasks within the same release. Dataset bytes and evaluation membership are unchanged by the 2026-10-15 distribution cleanup.
+
+[Input revisions](../audit/v3/input_manifest.json), [source acquisition](../audit/v3/inherited_source_manifest.json), [benchmark exclusion inputs](../audit/v3/exclusion_manifest.json), and [excluded source families](../curation/v3/excluded_source_families.json) are retained for traceability. The exact/10-gram exclusion hashes remain in [the v3 curation directory](../curation/v3).
+
+The [inherited input evidence](../curation/v3/inherited_inputs) preserves earlier holdout IDs, Nemotron lineage and reservations, and initial semantic/quality decisions. These historical records describe inputs to the repair; current decisions are the v3 catalog, repair ledgers and evaluation protocol linked in the data card. They are not training configurations and do not override the v3 corrections.
+
+Upstream source version names and historical revision IDs remain unchanged in provenance. They identify inputs, not extra FastBrain releases on the current branch.

docs/legacy-data-card.md

@@ -1,162 +0,0 @@
----
-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}
-}
-```

docs/v2-data-card.md

@@ -1,145 +0,0 @@
----
-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
-task_ids:
-- intent-classification
-- multi-class-classification
-tags:
-- fastbrain
-- tool-use
-- function-calling
-- intent-classification
-- multi-label
-- synthetic
-- aggregated
-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
-- 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
-
-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.
-
-Load the integrated release explicitly:
-
-```python
-from datasets import load_dataset
-
-ds = load_dataset("TypeScript/FastBrain-Instruct", "choice_v2")
-print(ds["train"][0])
-```
-
-## Configurations
-
-| 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 |
-
-`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`.
-
-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.
-
-## What changed
-
-| Main training component | Rows |
-|---|---:|
-| Retained legacy replay | 63,223 |
-| MTOP/TOPv2 semantic pairs | 26,976 |
-| Funcdex | 4,010 |
-| Repaired Nemotron | 22,231 |
-
-- **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.
-
-## Record format
-
-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`.
-
-`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.
-
-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
-
-[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)
-
-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.
-
-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.
-
-## 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.

test.jsonl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:99a90d09d82e004a99201ec7d39cfb41ebe962c9a36030552dc6b55e64984377
-size 18416636