{"id":40865360,"url":"https://github.com/cablelabs/llmdata","last_synced_at":"2026-01-22T00:17:21.012Z","repository":{"id":221593591,"uuid":"747770707","full_name":"cablelabs/llmdata","owner":"cablelabs","description":"Companion data sets for LLM projects","archived":false,"fork":false,"pushed_at":"2024-02-13T15:23:07.000Z","size":2270,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":5,"default_branch":"main","last_synced_at":"2024-04-15T06:12:54.745Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/cablelabs.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2024-01-24T15:57:01.000Z","updated_at":"2024-01-24T15:57:02.000Z","dependencies_parsed_at":"2024-02-12T23:04:35.039Z","dependency_job_id":null,"html_url":"https://github.com/cablelabs/llmdata","commit_stats":null,"previous_names":["cablelabs/llmdata"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/cablelabs/llmdata","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cablelabs%2Fllmdata","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cablelabs%2Fllmdata/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cablelabs%2Fllmdata/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cablelabs%2Fllmdata/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/cablelabs","download_url":"https://codeload.github.com/cablelabs/llmdata/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cablelabs%2Fllmdata/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28647958,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-21T21:29:11.980Z","status":"ssl_error","status_checked_at":"2026-01-21T21:24:31.872Z","response_time":86,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2026-01-22T00:17:20.952Z","updated_at":"2026-01-22T00:17:21.006Z","avatar_url":"https://github.com/cablelabs.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# LLM Data Companion\nThis repository contains companion data sets for LLM \npublications.\n\n## AI-Assisted Ideation\nCompanion data to\n[Randomness Is All You Need: Semantic Traversal of Problem-Solution Spaces with Large Language Models](https://arxiv.org/abs/2402.06053)\n\nPlease cite that paper if making use of this data. E.g. using the following bibtex snippet:\n```Latex\n@article{sandholm2024,\n  title={{Randomness Is All You Need: Semantic Traversal of Problem-Solution Spaces with Large Language Models}},\n  author={Thomas Sandholm and Sayandev Mukherjee and Bernardo A. Huberman},\n  journal={arXiv preprint arXiv:2402.06053},\n  year={2024}\n}\n```\n\nThe generated data dumps are available in  [/aidea](aidea/).\n\nThey are organize by original problem statement that generated\nthem:\n\n| Data | Problem Statement |\n|:---|:---|\n| timeline | Software project timelines are often underestimated, which leads to high costs. |\n| employee | It is difficult to measure employee satisfaction in an unbiased way. |\n| startup | It is not easy for early startups to find a customer base willing to try new technology. |\n| data | Companies struggle with gaining insights from large volumes and high velocity of data. |\n| satisfaction | It is hard to track and measure customer satisfaction across large geographies. |\n| invest | It is difficult to plan investments in an uncertain economy. |\n| innovation | It is difficult to create innovation opportunities without introducing too much process and hampering creativity. |\n| talent | Retaining high-performing talent is hard in competitive emerging markets. |\n| ml | Large machine learning models are expensive and time consuming to train. |\n| privacy | Ensuring privacy of customers is difficult while leveraging their data for business insights. |\n\nProblems generated from solutions have the prefix `gprob`.\nThe solution they are generated from has the prefix `gsol`.\n\nThe file naming convention is: \n```\n\u003ctype\u003e.\u003cindex\u003e.\u003ctemperature\u003e.txt\n```\nwhere `type` can be `gsol`, `gprob`, `sol` or `prob` for solutions for generated\nproblems, generated problems, solutions and problems respectively. The\n`index` denotes the order in which the solution was generated, starting\nwith solution 1 which is the solution to the original problem. The ordering\nis determined by a depth-first search of the related problem and generated\nproblem tree. The `temperature` is the LLM temperature set during solution\nand problem generation from a prompt. The temperatures used include `0.5`,`0.6`,`0.7`,`0.8`, `0.9`,\n`1.0`, and `1.1`. The actual temperature fed into the LLM is a uniform random number \nin the interval `[temp,temp + 0.1]`.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcablelabs%2Fllmdata","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcablelabs%2Fllmdata","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcablelabs%2Fllmdata/lists"}