Publish local-pipeline snapshot (9 config(s), params 5350879c062d)

README.md

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+---
+configs:
+- config_name: agentic_interactive
+  data_files:
+  - split: train
+    path: agentic_interactive/train-*.parquet
+- config_name: agentic_search
+  data_files:
+  - split: train
+    path: agentic_search/train-*.parquet
+- config_name: chat_multiturn
+  data_files:
+  - split: train
+    path: chat_multiturn/train-*.parquet
+- config_name: default
+  data_files:
+  - split: train
+    path: default/train-*.parquet
+- config_name: instruction_following
+  data_files:
+  - split: train
+    path: instruction_following/train-*.parquet
+- config_name: math_reasoning
+  data_files:
+  - split: train
+    path: math_reasoning/train-*.parquet
+- config_name: safety
+  data_files:
+  - split: train
+    path: safety/train-*.parquet
+- config_name: science_mcq
+  data_files:
+  - split: train
+    path: science_mcq/train-*.parquet
+- config_name: science_research
+  data_files:
+  - split: train
+    path: science_research/train-*.parquet
+---
+# geodesic-research/persistent-alignment-warm-start-short-reasoning
+
+Local-pipeline snapshot published via `--push-from-local`. All configs below were built locally (Hub-independent) and uploaded in a single commit at one snapshot revision.
+
+- Pipeline run params hash: `5350879c062dde0794a77181cebc05387828bff5efb326553c6c95eea675fa31`
+- Configs in this snapshot: agentic_interactive, agentic_search, chat_multiturn, default, instruction_following, math_reasoning, safety, science_mcq, science_research
+- Per-run provenance: `_pipeline_state/5350879c062dde0794a77181cebc05387828bff5efb326553c6c95eea675fa31.json` (in this repo) and each config's `_provenance.json` from its local build.

_pipeline_state/5350879c062dde0794a77181cebc05387828bff5efb326553c6c95eea675fa31.json

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+{
+  "completed_stages": {
+    "collect_agentic_interactive": {
+      "config_hash": "b04db025b171c216",
+      "revision": "localstage://b04db025b171c216@/lus/lfs1aip2/projects/public/a5k/data_edwardjamesyoung.a5k/pa-warm-start-short-local/5350879c062dde0794a77181cebc05387828bff5efb326553c6c95eea675fa31/collect_agentic_interactive",
+      "timestamp_utc": "2026-07-05T20:32:55Z"
+    },
+    "collect_agentic_search": {
+      "config_hash": "b7d900f48101ca3d",
+      "revision": "localstage://b7d900f48101ca3d@/lus/lfs1aip2/projects/public/a5k/data_edwardjamesyoung.a5k/pa-warm-start-short-local/5350879c062dde0794a77181cebc05387828bff5efb326553c6c95eea675fa31/collect_agentic_search",
+      "timestamp_utc": "2026-07-05T20:32:34Z"
+    },
+    "collect_chat_multiturn": {
+      "config_hash": "f248298b8bc26c16",
+      "revision": "localstage://f248298b8bc26c16@/lus/lfs1aip2/projects/public/a5k/data_edwardjamesyoung.a5k/pa-warm-start-short-local/5350879c062dde0794a77181cebc05387828bff5efb326553c6c95eea675fa31/collect_chat_multiturn",
+      "timestamp_utc": "2026-07-05T20:32:45Z"
+    },
+    "collect_instruction_following": {
+      "config_hash": "0efc5ea43469f52c",
+      "revision": "localstage://0efc5ea43469f52c@/lus/lfs1aip2/projects/public/a5k/data_edwardjamesyoung.a5k/pa-warm-start-short-local/5350879c062dde0794a77181cebc05387828bff5efb326553c6c95eea675fa31/collect_instruction_following",
+      "timestamp_utc": "2026-07-05T20:32:46Z"
+    },
+    "collect_math_reasoning": {
+      "config_hash": "614bcc73618cea87",
+      "revision": "localstage://614bcc73618cea87@/lus/lfs1aip2/projects/public/a5k/data_edwardjamesyoung.a5k/pa-warm-start-short-local/5350879c062dde0794a77181cebc05387828bff5efb326553c6c95eea675fa31/collect_math_reasoning",
+      "timestamp_utc": "2026-07-05T20:32:37Z"
+    },
+    "collect_safety": {
+      "config_hash": "24a271e78ba09d19",
+      "revision": "localstage://24a271e78ba09d19@/lus/lfs1aip2/projects/public/a5k/data_edwardjamesyoung.a5k/pa-warm-start-short-local/5350879c062dde0794a77181cebc05387828bff5efb326553c6c95eea675fa31/collect_safety",
+      "timestamp_utc": "2026-07-05T20:32:51Z"
+    },
+    "collect_science_mcq": {
+      "config_hash": "9daf8fb1b04ced06",
+      "revision": "localstage://9daf8fb1b04ced06@/lus/lfs1aip2/projects/public/a5k/data_edwardjamesyoung.a5k/pa-warm-start-short-local/5350879c062dde0794a77181cebc05387828bff5efb326553c6c95eea675fa31/collect_science_mcq",
+      "timestamp_utc": "2026-07-05T20:32:41Z"
+    },
+    "collect_science_research": {
+      "config_hash": "2f8058b320cfc4e6",
+      "revision": "localstage://2f8058b320cfc4e6@/lus/lfs1aip2/projects/public/a5k/data_edwardjamesyoung.a5k/pa-warm-start-short-local/5350879c062dde0794a77181cebc05387828bff5efb326553c6c95eea675fa31/collect_science_research",
+      "timestamp_utc": "2026-07-05T20:32:33Z"
+    },
+    "merge": {
+      "config_hash": "da3cfef127ca6e8e",
+      "revision": "localstage://da3cfef127ca6e8e@/lus/lfs1aip2/projects/public/a5k/data_edwardjamesyoung.a5k/pa-warm-start-short-local/5350879c062dde0794a77181cebc05387828bff5efb326553c6c95eea675fa31/merge",
+      "timestamp_utc": "2026-07-05T20:33:05Z"
+    }
+  },
+  "format_version": 1,
+  "params": {
+    "budget_agentic_interactive": 544532770,
+    "budget_agentic_search": 93777182,
+    "budget_chat_multiturn": 99434526,
+    "budget_instruction_following": 100051453,
+    "budget_math_reasoning": 40074958,
+    "budget_safety": 55978396,
+    "budget_science_mcq": 38595624,
+    "budget_science_research": 17744886,
+    "dest_repo": "geodesic-research/persistent-alignment-warm-start-short-reasoning",
+    "max_doc_tokens": 32768,
+    "persona_regex": "(?i)\\b(nemotron|chatgpt|openai|nvidia|gpt-\\d[\\w.-]*|deepseek|gemma|copilot|claude|anthropic|mistral|qwen|hugging\\s?face|megatron|llama|bard|palm|alexa|cohere|gemini|grok|kimi|siri|falcon)\\b",
+    "reasoning_sort": "ascending",
+    "shuffle_seed": 42,
+    "template_control_pattern": "</?think>",
+    "tokenizer": "geodesic-research/nemotron-think-tokenizer"
+  },
+  "params_hash": "5350879c062dde0794a77181cebc05387828bff5efb326553c6c95eea675fa31",
+  "pipeline": "pipelines/persistent-alignment-warm-start/pipeline.yaml"
+}

agentic_interactive/train-00000-of-00001.parquet

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agentic_search/train-00000-of-00001.parquet

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default/train-00000-of-00001.parquet

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safety/train-00000-of-00001.parquet

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