Comparison
GSM-IC vs Auto-claude-code-research-in-sleep
Verdict
Pick GSM-IC if gSM-IC is a benchmark dataset that evaluates the distractibility of language models by introducing irrelevant context into grade-school math problems; pick Auto-claude-code-research-in-sleep if auto-claude-code-research-in-sleep provides specialized Markdown-based utilities for automating and enhancing autonomous ML research by connecting various models in an open framework.
Markdown twin · GSM-IC alternatives · Auto-claude-code-research-in-sleep alternatives
GraphCanon updated Sep 20, 2026
Auto-claude-code-research-in-sleep
wanshuiyin/Auto-claude-code-research-in-sleep
Trust & integrity
| Signal | GSM-IC | Auto-claude-code-research-in-sleep |
|---|---|---|
| Maintenance | Archived (1312d since push) As of Sep 18, 2026 · github_public_v1 | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Aug 23, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- GSM-IC
- GSM-IC benchmark evaluates distractibility of language models with grade-school math problems and irrelevant context.
- Auto-claude-code-research-in-sleep
- Lightweight Markdown-only skills for autonomous ML research
Stars
- GSM-IC
- 67
- Auto-claude-code-research-in-sleep
- 16k
Forks
- GSM-IC
- 2
- Auto-claude-code-research-in-sleep
- 1.4k
Open issues
- GSM-IC
- 1
- Auto-claude-code-research-in-sleep
- 70
Language
- GSM-IC
- -
- Auto-claude-code-research-in-sleep
- Python
Adopt for
- GSM-IC
- GSM-IC is a benchmark dataset that evaluates the distractibility of language models by introducing irrelevant context into grade-school math problems.
- Auto-claude-code-research-in-sleep
- Auto-claude-code-research-in-sleep provides specialized Markdown-based utilities for automating and enhancing autonomous ML research by connecting various models in an open framework.
Persona
- GSM-IC
- -
- Auto-claude-code-research-in-sleep
- -
Runtime
- GSM-IC
- -
- Auto-claude-code-research-in-sleep
- -
License
- GSM-IC
- License information is not provided in the repository.
- Auto-claude-code-research-in-sleep
- MIT License, allowing for broad usage without restrictions on commercial use.
Last pushed
- GSM-IC
- Feb 13, 2023
- Auto-claude-code-research-in-sleep
- Sep 18, 2026
Categories
- GSM-IC
- Evaluation & Observability
- Auto-claude-code-research-in-sleep
- AI Agents, Developer Tools, Evaluation & Observability
Trust and health
Maintenance
- GSM-IC
- Archived (8%)
- Auto-claude-code-research-in-sleep
- Very active (96%)
Days since push
- GSM-IC
- 1312d
- Auto-claude-code-research-in-sleep
- 1d
Archived on GitHub
- GSM-IC
- Yes
- Auto-claude-code-research-in-sleep
- No
Open issues (now)
- GSM-IC
- 1
- Auto-claude-code-research-in-sleep
- 70
Stars delta
- GSM-IC
- 0 (30d)
- Auto-claude-code-research-in-sleep
- +2.5k (30d)
Open issues delta
- GSM-IC
- 0 (30d)
- Auto-claude-code-research-in-sleep
- +10 (30d)
Owner type
- GSM-IC
- Organization
- Auto-claude-code-research-in-sleep
- User
Full report
- GSM-IC
- Trust report
- Auto-claude-code-research-in-sleep
- Trust report
Choose GSM-IC if…
- Pricing: Pricing details are not available..
- Requirements: The dataset is derived from GSM8K and includes irrelevant context in problem descriptions to test the distractibility of language models..
- Tags unique to GSM-IC: arithmetic reasoning, benchmark, distractibility, grade-school math.
- Use GSM-IC when you need to assess how well a language model can focus on relevant information in arithmetic reasoning tasks, especially when faced with distracting irrelevant context.
When NOT to use GSM-IC
- Avoid GSM-IC if your evaluation focuses on the model's ability to solve math problems without any form of distraction or if the context is always assumed to be relevant.
- Do not use GSM-IC if your primary interest is in evaluating the model's performance on pure arithmetic tasks without the added complexity of irrelevant context.
Choose Auto-claude-code-research-in-sleep if…
- Pricing: Free to use under MIT license with no explicit pricing model indicated, though users might incur costs based on the AI models and services they choose to integrate..
- Requirements: Compatibility with diverse language model agents without requiring lock-in or specific frameworks; Utilizes Markdown for skills, aiming at a lightweight automation layer on top of ML research tasks.
- Tags unique to Auto-claude-code-research-in-sleep: ai research, autonomous-agent, idea-generation, ml-research.
- Also covers AI Agents, Developer Tools.
- When you are looking to streamline idea discovery, experiment automation, and cross-model review loops specifically within the context of Python programming for machine learning research
When NOT to use Auto-claude-code-research-in-sleep
- If you require a solution that is tightly integrated with a specific AI development platform or requires the use of proprietary models
- When your research workflow demands real-time data analysis and visualization tools that Auto-claude-code-research-in-sleep does not directly support
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (google-research-datasets/GSM-IC) · observed Sep 20, 2026
- GitHub forks (google-research-datasets/GSM-IC) · observed Sep 20, 2026
- Last push (google-research-datasets/GSM-IC) · observed Feb 13, 2023
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (wanshuiyin/Auto-claude-code-research-in-sleep) · observed Sep 20, 2026
- GitHub forks (wanshuiyin/Auto-claude-code-research-in-sleep) · observed Sep 20, 2026
- Last push (wanshuiyin/Auto-claude-code-research-in-sleep) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Aug 23, 2026
GitHub stars on cards: GSM-IC 67 · Auto-claude-code-research-in-sleep 16k (synced Sep 20, 2026).
Common questions
- What is the difference between GSM-IC and Auto-claude-code-research-in-sleep?
- GSM-IC: GSM-IC benchmark evaluates distractibility of language models with grade-school math problems and irrelevant context.. Auto-claude-code-research-in-sleep: Lightweight Markdown-only skills for autonomous ML research. See the comparison table for live GitHub stats and shared categories.
- When should I choose GSM-IC over Auto-claude-code-research-in-sleep?
- Choose GSM-IC over Auto-claude-code-research-in-sleep when Pricing: Pricing details are not available.; Requirements: The dataset is derived from GSM8K and includes irrelevant context in problem descriptions to test the distractibility of language models.; Tags unique to GSM-IC: arithmetic reasoning, benchmark, distractibility, grade-school math; Use GSM-IC when you need to assess how well a language model can focus on relevant information in arithmetic reasoning tasks, especially when faced with distracting irrelevant context.
- When should I choose Auto-claude-code-research-in-sleep over GSM-IC?
- Choose Auto-claude-code-research-in-sleep over GSM-IC when Pricing: Free to use under MIT license with no explicit pricing model indicated, though users might incur costs based on the AI models and services they choose to integrate.; Requirements: Compatibility with diverse language model agents without requiring lock-in or specific frameworks; Utilizes Markdown for skills, aiming at a lightweight automation layer on top of ML research tasks; Tags unique to Auto-claude-code-research-in-sleep: ai research, autonomous-agent, idea-generation, ml-research; Also covers AI Agents, Developer Tools; When you are looking to streamline idea discovery, experiment automation, and cross-model review loops specifically within the context of Python programming for machine learning research.
- When should I avoid GSM-IC?
- Avoid GSM-IC if your evaluation focuses on the model's ability to solve math problems without any form of distraction or if the context is always assumed to be relevant. Do not use GSM-IC if your primary interest is in evaluating the model's performance on pure arithmetic tasks without the added complexity of irrelevant context.
- When should I avoid Auto-claude-code-research-in-sleep?
- If you require a solution that is tightly integrated with a specific AI development platform or requires the use of proprietary models When your research workflow demands real-time data analysis and visualization tools that Auto-claude-code-research-in-sleep does not directly support
- Is GSM-IC or Auto-claude-code-research-in-sleep more popular on GitHub?
- Auto-claude-code-research-in-sleep has more GitHub stars (16,383 vs 67). Stars measure visibility, not whether either tool fits your constraints.
- Are GSM-IC and Auto-claude-code-research-in-sleep open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to GSM-IC or Auto-claude-code-research-in-sleep?
- GraphCanon lists graph-backed alternatives at GSM-IC alternatives and Auto-claude-code-research-in-sleep alternatives (GSM-IC markdown twin, Auto-claude-code-research-in-sleep markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, GSM-IC or Auto-claude-code-research-in-sleep?
- GSM-IC: Archived. Auto-claude-code-research-in-sleep: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for GSM-IC and Auto-claude-code-research-in-sleep?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: GSM-IC trust report; Auto-claude-code-research-in-sleep trust report.