{"schema_version":"onlylabs.public_signal.v1","title":"Databricks (DBRX) Repo: databricks/officeqa","description":"Databricks (DBRX) repo signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/bb4bfb4d-2eaf-4050-b06b-a1f35b5afa4f","json_url":"https://onlylabs.fyi/signals/bb4bfb4d-2eaf-4050-b06b-a1f35b5afa4f/signal.json","generated_at":"2026-06-11T04:07:58.550858+00:00","org":{"slug":"databricks","name":"Databricks (DBRX)","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/databricks","dossier_json_url":"https://onlylabs.fyi/labs/databricks/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/bb4bfb4d-2eaf-4050-b06b-a1f35b5afa4f","signal_json":"https://onlylabs.fyi/signals/bb4bfb4d-2eaf-4050-b06b-a1f35b5afa4f/signal.json","source":"https://github.com/databricks/officeqa","lab_dossier":"https://onlylabs.fyi/labs/databricks","lab_dossier_json":"https://onlylabs.fyi/labs/databricks/dossier.json","analysis":"https://onlylabs.fyi/analysis/databricks","analysis_json":"https://onlylabs.fyi/analysis/databricks/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/databricks/evidence.json","category":"https://onlylabs.fyi/neoclouds","category_json":"https://onlylabs.fyi/neoclouds.json","category_feed":"https://onlylabs.fyi/neoclouds/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"Databricks (DBRX) published databricks/officeqa (Jupyter Notebook). This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. High-signal details: repo databricks/officeqa · language Jupyter Notebook · Solid new repo from Databricks with moderate stars (126).. onlylabs links this event to 1 captured evidence page and 6 related repo signals.","signal_desk":"repos","source_context":{"source_url":"https://github.com/databricks/officeqa","source_host":"github.com","occurred_at":"2025-11-24T18:20:06+00:00","first_seen_at":"2026-06-05T22:32:24.372839+00:00","date_source":"source","context":"Jupyter Notebook"},"context_markers":[{"label":"Lab","value":"Databricks (DBRX)","source":"signal"},{"label":"Signal desk","value":"repos","source":"signal"},{"label":"Source host","value":"github.com","source":"source"},{"label":"Repository","value":"databricks/officeqa","source":"source"},{"label":"Language","value":"Jupyter Notebook","source":"source"},{"label":"Stars","value":"129","source":"traction"},{"label":"Notability","value":"Solid new repo from Databricks with moderate stars (126).","source":"signal"},{"label":"Watch term","value":"Eval methodology","source":"evidence"},{"label":"Watch term","value":"Model card","source":"model"},{"label":"Watch term","value":"Data pipeline","source":"evidence"},{"label":"Watch term","value":"Agents and tool use","source":"evidence"}],"evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://github.com/databricks/officeqa"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-06-11T04:07:58.550858+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/bb4bfb4d-2eaf-4050-b06b-a1f35b5afa4f/signal.json","dossier_json":"https://onlylabs.fyi/labs/databricks/dossier.json","analysis_json":"https://onlylabs.fyi/analysis/databricks/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/databricks/evidence.json","topic_signals_json":null,"topic_feed":null,"category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","data_radar_json":null,"opportunities_json":null},"analysis_playbook":{"objective":"Turn new repository signals into early evidence of tooling, eval, infrastructure, model-adjacent, or product work before it appears in polished launch channels.","evidence_focus":["repo name","owner","description","language","stars","source URL","first seen time","data, eval, infra, safety, and product terms"],"extraction_questions":["What technical area does this repository expose?","Does the repo imply eval, data, infrastructure, agent, or deployment work?","Is the repo new evidence for a lab direction that is not yet in writing or releases?","Which related signals should an analyst inspect next?"],"signal_questions":["What does this new repository reveal before a formal announcement exists?","What technical area does this repository expose?","Does the repo imply eval, data, infrastructure, agent, or deployment work?","Do the 6 related repo signals show a repeated pattern?"],"output_fields":["org","repo","technical_theme","evidence_url"],"data_business_relevance":"Data-business lane extraction is scoped to frontier labs; for this category, interpret the repository as source-grounded category strategy evidence.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/bb4bfb4d-2eaf-4050-b06b-a1f35b5afa4f/signal.json","required":true},{"label":"source","url":"https://github.com/databricks/officeqa","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/databricks/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/databricks/evidence.json","required":true},{"label":"topic_signals_json","url":null,"required":false},{"label":"data_radar_json","url":null,"required":false}],"expected_output":["one-paragraph source-grounded interpretation","category-specific implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the linked onlylabs JSON, captured source context, and cited evidence, analyze Databricks (DBRX)'s repo signal \"databricks/officeqa\" for neocloud strategy."},"semantic_triples":[{"subject":"Databricks (DBRX)","predicate":"published repo","object":"databricks/officeqa","text":"Databricks (DBRX) published repo databricks/officeqa."},{"subject":"databricks/officeqa","predicate":"is classified as","object":"repo signal","text":"databricks/officeqa is classified as repo signal."},{"subject":"databricks/officeqa","predicate":"belongs to","object":"repos desk","text":"databricks/officeqa belongs to repos desk."},{"subject":"databricks/officeqa","predicate":"has context","object":"Jupyter Notebook","text":"databricks/officeqa has context Jupyter Notebook."},{"subject":"databricks/officeqa","predicate":"has evidence coverage","object":"1 captured evidence page","text":"databricks/officeqa has evidence coverage 1 captured evidence page."},{"subject":"databricks/officeqa","predicate":"has captured page count","object":"1","text":"databricks/officeqa has captured page count 1."},{"subject":"databricks/officeqa","predicate":"has readable page count","object":"1","text":"databricks/officeqa has readable page count 1."},{"subject":"databricks/officeqa","predicate":"has related signal count","object":"6","text":"databricks/officeqa has related signal count 6."},{"subject":"databricks/officeqa","predicate":"has analysis playbook objective","object":"Turn new repository signals into early evidence of tooling, eval, infrastructure, model-adjacent, or product work before it appears in polished launch channels.","text":"databricks/officeqa has analysis playbook objective Turn new repository signals into early evidence of tooling, eval, infrastructure, model-adjacent, or product work before it appears in polished launch channels.."},{"subject":"databricks/officeqa","predicate":"has source host","object":"github.com","text":"databricks/officeqa has source host github.com."},{"subject":"databricks/officeqa","predicate":"has lab","object":"Databricks (DBRX)","text":"databricks/officeqa has lab Databricks (DBRX)."},{"subject":"databricks/officeqa","predicate":"has signal desk","object":"repos","text":"databricks/officeqa has signal desk repos."},{"subject":"databricks/officeqa","predicate":"has source host","object":"github.com","text":"databricks/officeqa has source host github.com."},{"subject":"databricks/officeqa","predicate":"has repository","object":"databricks/officeqa","text":"databricks/officeqa has repository databricks/officeqa."},{"subject":"databricks/officeqa","predicate":"has language","object":"Jupyter Notebook","text":"databricks/officeqa has language Jupyter Notebook."},{"subject":"databricks/officeqa","predicate":"has stars","object":"129","text":"databricks/officeqa has stars 129."},{"subject":"databricks/officeqa","predicate":"has notability","object":"Solid new repo from Databricks with moderate stars (126).","text":"databricks/officeqa has notability Solid new repo from Databricks with moderate stars (126).."},{"subject":"databricks/officeqa","predicate":"has watch term","object":"Eval methodology","text":"databricks/officeqa has watch term Eval methodology."}]},"intelligence":{"signal_desk":"repos","answer":"Databricks (DBRX) published databricks/officeqa (Jupyter Notebook). This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. High-signal details: repo databricks/officeqa · language Jupyter Notebook · Solid new repo from Databricks with moderate stars (126).. onlylabs links this event to 1 captured evidence page and 6 related repo signals.","semantic_triples":[{"subject":"Databricks (DBRX)","predicate":"published repo","object":"databricks/officeqa","text":"Databricks (DBRX) published repo databricks/officeqa."},{"subject":"databricks/officeqa","predicate":"is classified as","object":"repo signal","text":"databricks/officeqa is classified as repo signal."},{"subject":"databricks/officeqa","predicate":"belongs to","object":"repos desk","text":"databricks/officeqa belongs to repos desk."},{"subject":"databricks/officeqa","predicate":"has context","object":"Jupyter Notebook","text":"databricks/officeqa has context Jupyter Notebook."},{"subject":"databricks/officeqa","predicate":"has evidence coverage","object":"1 captured evidence page","text":"databricks/officeqa has evidence coverage 1 captured evidence page."}]},"signal":{"id":"bb4bfb4d-2eaf-4050-b06b-a1f35b5afa4f","url":"https://onlylabs.fyi/signals/bb4bfb4d-2eaf-4050-b06b-a1f35b5afa4f","json_url":"https://onlylabs.fyi/signals/bb4bfb4d-2eaf-4050-b06b-a1f35b5afa4f/signal.json","source_url":"https://github.com/databricks/officeqa","title":"databricks/officeqa","summary":"Databricks (DBRX) published a new repository. onlylabs watches repos for tooling, eval, infra, and model-adjacent work.","context":"Jupyter Notebook","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"databricks","name":"Databricks (DBRX)","category":"neocloud"},"occurred_at":"2025-11-24T18:20:06+00:00","first_seen_at":"2026-06-05T22:32:24.372839+00:00","date_source":"source","evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://github.com/databricks/officeqa"]},"facets":{"repo":"databricks/officeqa","language":"Jupyter Notebook"},"traction":{"github_stars":129,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":null,"hf_likes":null},"data_radar":null},"primary_evidence_page":{"url":"https://github.com/databricks/officeqa","final_url":"https://github.com/databricks/officeqa","title":"databricks/officeqa repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T04:07:58.550858+00:00","bytes":15356,"raw_path":"e3efe08a9270abbce32430e6ae16e9a2196cb41ee4846d5e56d28106fe4172d4.json","content_hash":"a295ccb5a3957938a51cafceebb913fb55df744359764dfc80467671d4c1ae46","excerpt_chars":1200,"truncated":true,"excerpt":"databricks/officeqa Description: Repository for getting started with the OfficeQA Benchmark. Language: Jupyter Notebook License: Apache-2.0 Stars: 129 Forks: 14 Open issues: 2 Created: 2025-11-24T18:20:06Z Pushed: 2026-06-01T18:26:06Z Default branch: main Fork: no Archived: no README: OfficeQA A Grounded Reasoning Benchmark by Databricks <p align=\"center\"><img width=\"300\" src=\"logo.png\"/></p> **OfficeQA** is a benchmark by Databricks, built for evaluating model / agent performance on end to end **Grounded Reasoning** tasks. The benchmark is split into two subsets: 1. **OfficeQA Pro**: The default for evaluating frontier models (N=133) 2. **OfficeQA Full**: A version of the benchmark containing additional easier questions to hillclimb systems on (N=246) Additional details: - Questions require the **[U.S Treasury Bulletin](https://fraser.stlouisfed.org/title/treasury-bulletin-407?browse=1930s)** documents to answer - Datasets released under **CC-BY-SA 4.0** and code and scripts under **Apache 2.0 License**. - For more information, see the **[OfficeQA Technical Report](https://arxiv.org/abs/2603.08655)** Data Access As of May 2026, all large files (benchmark CSVs, Treasury Bulletin..."},"evidence_pages":[{"url":"https://github.com/databricks/officeqa","final_url":"https://github.com/databricks/officeqa","title":"databricks/officeqa repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T04:07:58.550858+00:00","bytes":15356,"raw_path":"e3efe08a9270abbce32430e6ae16e9a2196cb41ee4846d5e56d28106fe4172d4.json","content_hash":"a295ccb5a3957938a51cafceebb913fb55df744359764dfc80467671d4c1ae46","excerpt_chars":1200,"truncated":true,"excerpt":"databricks/officeqa Description: Repository for getting started with the OfficeQA Benchmark. Language: Jupyter Notebook License: Apache-2.0 Stars: 129 Forks: 14 Open issues: 2 Created: 2025-11-24T18:20:06Z Pushed: 2026-06-01T18:26:06Z Default branch: main Fork: no Archived: no README: OfficeQA A Grounded Reasoning Benchmark by Databricks <p align=\"center\"><img width=\"300\" src=\"logo.png\"/></p> **OfficeQA** is a benchmark by Databricks, built for evaluating model / agent performance on end to end **Grounded Reasoning** tasks. The benchmark is split into two subsets: 1. **OfficeQA Pro**: The default for evaluating frontier models (N=133) 2. **OfficeQA Full**: A version of the benchmark containing additional easier questions to hillclimb systems on (N=246) Additional details: - Questions require the **[U.S Treasury Bulletin](https://fraser.stlouisfed.org/title/treasury-bulletin-407?browse=1930s)** documents to answer - Datasets released under **CC-BY-SA 4.0** and code and scripts under **Apache 2.0 License**. - For more information, see the **[OfficeQA Technical Report](https://arxiv.org/abs/2603.08655)** Data Access As of May 2026, all large files (benchmark CSVs, Treasury Bulletin..."}],"related_signals":[{"id":"7183a054-3514-4909-91f4-8621a1c0a9c1","url":"https://onlylabs.fyi/signals/7183a054-3514-4909-91f4-8621a1c0a9c1","source_url":"https://github.com/databricks/ucode","title":"databricks/ucode","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"databricks","name":"Databricks (DBRX)","category":"neocloud"},"occurred_at":"2026-04-17T16:59:59+00:00","first_seen_at":"2026-06-05T22:32:24.372839+00:00","date_source":"source"},{"id":"78b2e0e9-ec8a-4315-8641-75b63a096e58","url":"https://onlylabs.fyi/signals/78b2e0e9-ec8a-4315-8641-75b63a096e58","source_url":"https://github.com/databricks/devhub","title":"databricks/devhub","context":"TypeScript","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"databricks","name":"Databricks (DBRX)","category":"neocloud"},"occurred_at":"2026-03-12T17:03:51+00:00","first_seen_at":"2026-06-05T22:32:24.372839+00:00","date_source":"source"},{"id":"30c28def-c185-4b79-954c-8da47ac1166a","url":"https://onlylabs.fyi/signals/30c28def-c185-4b79-954c-8da47ac1166a","source_url":"https://github.com/databricks/pilot-commit","title":"databricks/pilot-commit","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"databricks","name":"Databricks (DBRX)","category":"neocloud"},"occurred_at":"2026-03-09T16:30:06+00:00","first_seen_at":"2026-06-05T22:32:24.372839+00:00","date_source":"source"},{"id":"bd65ce67-c41c-4a77-a54a-1c9c4919c227","url":"https://onlylabs.fyi/signals/bd65ce67-c41c-4a77-a54a-1c9c4919c227","source_url":"https://github.com/databricks/flashoptim","title":"databricks/flashoptim","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"databricks","name":"Databricks (DBRX)","category":"neocloud"},"occurred_at":"2026-02-23T21:45:25+00:00","first_seen_at":"2026-06-05T22:32:24.372839+00:00","date_source":"source"},{"id":"5755de7d-c221-445e-8082-93032abf62a7","url":"https://onlylabs.fyi/signals/5755de7d-c221-445e-8082-93032abf62a7","source_url":"https://github.com/databricks/databricks-repos-debug","title":"databricks/databricks-repos-debug","context":"Jupyter Notebook","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"databricks","name":"Databricks (DBRX)","category":"neocloud"},"occurred_at":"2026-01-23T21:09:39+00:00","first_seen_at":"2026-06-05T22:32:24.372839+00:00","date_source":"source"},{"id":"fa5fe8f5-afaa-4f71-8cc6-e4f4dae0a195","url":"https://onlylabs.fyi/signals/fa5fe8f5-afaa-4f71-8cc6-e4f4dae0a195","source_url":"https://github.com/databricks/databricks-agent-skills","title":"databricks/databricks-agent-skills","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"databricks","name":"Databricks (DBRX)","category":"neocloud"},"occurred_at":"2026-01-14T09:51:58+00:00","first_seen_at":"2026-06-05T22:32:24.372839+00:00","date_source":"source"}]}