Initial clean upload with Git LFS

.gitattributes

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+*.jsonl filter=lfs diff=lfs merge=lfs -text
+*.json filter=lfs diff=lfs merge=lfs -text

LICENSE

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+Creative Commons Attribution 4.0 International (CC BY 4.0)
+
+You are free to:
+- Share — copy and redistribute the material in any medium or format
+- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
+
+Under the following terms:
+- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made.
+  You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
+
+No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
+
+Full license text: https://creativecommons.org/licenses/by/4.0/legalcode

README.md

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+# Dockerfiles Linted Dataset
+
+This dataset contains 195,758 Dockerfiles collected from public container images found on Docker Hub. Each Dockerfile is enriched with metadata and statically analyzed using [Hadolint](https://github.com/hadolint/hadolint).
+
+## Dataset Overview
+
+Dockerfiles were collected by:
+1. Enumerating Docker Hub images,
+2. Extracting raw GitHub URLs pointing to Dockerfile locations in those repositories,
+3. Downloading each file and extracting content-level metadata (e.g. line count, validity),
+4. Fetching GitHub-level metadata such as license, stars, and path,
+5. Running Hadolint to detect Dockerfile best-practice violations.
+
+Each data entry includes:
+- Dockerfile content and metadata (hash, lines, valid),
+- GitHub repository context (repo URL, license, stars, branch),
+- Hadolint static analysis results.
+
+## Structure
+
+The dataset is split into 4 progressive stages:
+
+```
+resolved/       → Resolved image ↔ raw Dockerfile URL mappings
+enriched/       → Dockerfile content + metadata (hash, lines, valid)
+full/           → Enriched with GitHub repository metadata
+linted/         → Final stage with Hadolint static analysis results
+summary/        → Visual summaries and statistics
+```
+
+Each folder contains:
+- 20 partial `.jsonl` chunks (10k entries each),
+- 1 combined `*_all.jsonl` file for bulk use,
+- a `dataset_info.json` describing the data structure.
+
+## Bias Warning: CircleCI Dominance
+
+A very large portion of the Dockerfiles originate from the `circleci/circleci-dockerfiles` repository (170,000+ entries).  
+To ensure clarity, we include **two sets of visualizations**:
+
+- **Full dataset statistics**
+- **Statistics with CircleCI excluded**
+
+This allows users to explore data either globally or more evenly across repositories.
+
+## Repository Distribution
+
+**Top 20 repositories by number of Dockerfiles (entire dataset):**
+
+![Top 20 Repositories](summary/top_repositories.png)
+
+**Top 20 repositories (excluding CircleCI):**
+
+![Top 20 Repositories (No CircleCI)](summary/top_repositories_no_circleci.png)
+
+## Hadolint Rule Violations
+
+**Top 20 Hadolint rules triggered (entire dataset):**
+
+![Top 20 Hadolint Rules](summary/top_hadolint_rules.png)
+
+**Top 20 Hadolint rules (excluding CircleCI):**
+
+![Top 20 Hadolint Rules (No CircleCI)](summary/top_hadolint_rules_no_circleci.png)
+
+## Example Entry
+
+Each row in the `.jsonl` files contains enriched information about a Dockerfile.  
+The full field structure for each stage is documented in its respective `dataset_info.json`.
+
+## License
+
+This dataset is provided under the [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/) license.
+
+## Attribution Notice
+
+This dataset contains Dockerfiles originally created by developers across many public GitHub repositories.  
+We do not claim ownership of any individual Dockerfile.  
+Instead, we provide this dataset as a collection of metadata, structure, and analysis, compiled and curated for research and educational use.
+
+Please consult individual repository licenses if you plan to reuse specific Dockerfile content in derived works.

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