sanjeevafk commited on
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feat: clean full export of technical corpus to root

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LICENSE_SUMMARY.md ADDED
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+ # License Summary
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+
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+ This dataset is mixed-license. Downstream consumers must respect the upstream license attached to each chunk.
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+
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+ | Upstream License | Documents |
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+ | --- | ---: |
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+ | unknown | 5000 |
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+
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+ ## Policy
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+
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+ - No dataset-wide MIT claim is made for upstream source content.
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+ - Per-chunk `upstream_license`, `source`, and `source_url` fields are authoritative.
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+ - Unknown licenses remain in the export and should be filtered for conservative enterprise use.
README.md ADDED
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+ ---
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+ language:
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+ - en
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+ tags:
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+ - rag
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+ - retrieval
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+ - technical-docs
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+ - programming
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+ size_categories:
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+ - 100K<n<1M
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+ ---
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+
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+ # depthapi_technical_corpus
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+
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+ ## Summary
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+
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+ `depthapi_technical_corpus` is a mixed-license retrieval corpus built from technical documentation, books, engineering writeups, and repository-derived reference material. It is intended for open-source RAG systems, embedding benchmarks, reranker evaluation, and enterprise retrieval experiments.
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+
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+ ## Ingestion Process
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+
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+ The corpus was assembled from multiple upstream source types and normalized through a reproducible local pipeline backed by Supabase.
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+
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+ - `Scrapling` was used for live technical documentation crawling and structured HTML extraction from documentation websites.
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+ - [`D4Vinci/Scrapling`](https://github.com/D4Vinci/Scrapling) was used for live technical documentation crawling and structured HTML extraction from documentation websites.
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+ - [`opendataloader-project/opendataloader-pdf`](https://github.com/opendataloader-project/opendataloader-pdf) was used for PDF extraction when ingesting book-like and document-style technical sources into normalized markdown/text blocks.
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+ - Source material was then normalized, rechunked deterministically, deduplicated, validated, and exported to parquet for Hugging Face datasets compatibility.
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+
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+ ## Schema
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+
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+ Each chunk includes:
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+
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+ - `chunk_id`
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+ - `source`
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+ - `source_url`
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+ - `upstream_license`
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+ - `document_id`
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+ - `chunk_index`
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+ - `retrieved_at`
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+ - `chunker_version`
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+ - `content_hash`
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+ - `content`
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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("sanjeevafk/depthapi_technical_corpus", split="train", streaming=True)
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+ for row in dataset.take(3):
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+ print(row["chunk_id"], row["source"], row["upstream_license"])
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+ ```
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+
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+ ## Retrieval Benchmark Example
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+
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+ Use `data/research_corpus/benchmarks/queries.jsonl` with your retriever and score against `qrels.jsonl`.
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+
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+ ## Licensing
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+
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+ This is a mixed-license dataset. Downstream users must inspect `upstream_license` and `SOURCES_MANIFEST.yaml` before redistribution or commercial use.
SOURCES_MANIFEST.yaml ADDED
@@ -0,0 +1,152 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ version: 1
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+ sources:
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+ - source: AlgorithmsNotesForProfessionals
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+ source_url: https://goalkicker.com/books#algorithms
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+ upstream_license: unknown
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+ retrieved_at: legacy-unknown
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+ documents: 7
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+ - source: BashNotesForProfessionals
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+ source_url: https://goalkicker.com/books#bash
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+ upstream_license: unknown
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+ retrieved_at: legacy-unknown
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+ documents: 9
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+ - source: CPython Docs
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+ source_url: file://datasets/cpython/Doc/reference/executionmodel.rst
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+ upstream_license: unknown
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+ retrieved_at: unknown
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+ documents: 685
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+ - source: CSSNotesForProfessionals
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+ source_url: https://goalkicker.com/books#css
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+ upstream_license: unknown
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+ retrieved_at: legacy-unknown
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+ documents: 9
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+ - source: Cracking the coding interview 6th edition
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+ source_url: https://goalkicker.com/books#cracking the coding interview 6th edition
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+ upstream_license: unknown
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+ retrieved_at: legacy-unknown
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+ documents: 13
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+ - source: Data Engineering Cookbook
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+ source_url: https://goalkicker.com/books#data engineering cookbook
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+ upstream_license: unknown
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+ retrieved_at: legacy-unknown
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+ documents: 4
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+ - source: Deep Learning with Python
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+ source_url: https://www.manning.com/books/deep-learning-with-python-third-edition
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+ upstream_license: unknown
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+ retrieved_at: legacy-unknown
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+ documents: 41
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+ - source: Eloquent_JavaScript
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+ source_url: https://goalkicker.com/books#eloquent_javascript
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+ upstream_license: unknown
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+ retrieved_at: legacy-unknown
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+ documents: 5
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+ - source: Full-Stack FastAPI Template
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+ source_url: unknown
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+ upstream_license: unknown
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+ retrieved_at: unknown
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+ documents: 13
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+ - source: GitNotesForProfessionals
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+ source_url: https://goalkicker.com/books#git
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+ upstream_license: unknown
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+ retrieved_at: legacy-unknown
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+ documents: 8
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+ - source: Introduction to Algorithms
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+ source_url: https://goalkicker.com/books#introduction to algorithms
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+ upstream_license: unknown
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+ retrieved_at: legacy-unknown
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+ documents: 27
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+ - source: JavaNotesForProfessionals
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+ source_url: https://goalkicker.com/books#java
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+ upstream_license: unknown
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+ retrieved_at: legacy-unknown
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+ documents: 30
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+ - source: JavaScriptNotesForProfessionals
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+ source_url: https://goalkicker.com/books#javascript
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+ upstream_license: unknown
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+ retrieved_at: legacy-unknown
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+ documents: 22
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+ - source: Kubernetes Website EN
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+ source_url: file://datasets/website/content/en/docs/concepts/workloads/controllers/job.md
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+ upstream_license: unknown
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+ retrieved_at: unknown
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+ documents: 872
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+ - source: LinuxNotesForProfessionals
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+ source_url: https://goalkicker.com/books#linux
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+ upstream_license: unknown
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+ retrieved_at: legacy-unknown
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+ documents: 3
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+ - source: MDN Content EN-US
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+ source_url: file://datasets/content/files/en-us/web/api/paymentresponse/retry/index.md
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+ upstream_license: unknown
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+ retrieved_at: unknown
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+ documents: 2639
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+ - source: Node.js API Docs
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+ source_url: file://datasets/node/doc/api/worker_threads.md
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+ upstream_license: unknown
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+ retrieved_at: unknown
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+ documents: 184
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+ - source: NodeJSNotesForProfessionals
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+ source_url: https://goalkicker.com/books#nodejs
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+ upstream_license: unknown
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+ retrieved_at: legacy-unknown
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+ documents: 10
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+ - source: Python Data Science Handbook
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+ source_url: https://goalkicker.com/books#python data science handbook
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+ upstream_license: unknown
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+ retrieved_at: legacy-unknown
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+ documents: 17
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+ - source: PythonNotesForProfessionals
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+ source_url: https://goalkicker.com/books#python
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+ upstream_license: unknown
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+ retrieved_at: legacy-unknown
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+ documents: 32
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+ - source: React.dev Content
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+ source_url: file://datasets/react.dev/src/content/reference/dev-tools/react-performance-tracks.md
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+ upstream_license: unknown
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+ retrieved_at: unknown
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+ documents: 169
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+ - source: ReactJSNotesForProfessionals
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+ source_url: https://goalkicker.com/books#reactjs
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+ upstream_license: unknown
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+ retrieved_at: legacy-unknown
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+ documents: 3
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+ - source: SQL Tutorial
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+ source_url: https://goalkicker.com/books#sql tutorial
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+ upstream_license: unknown
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+ retrieved_at: legacy-unknown
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+ documents: 2
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+ - source: SQLNotesForProfessionals
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+ source_url: https://goalkicker.com/books#sql
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+ upstream_license: unknown
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+ retrieved_at: legacy-unknown
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+ documents: 7
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+ - source: System Design Handbook - Aman Barnwal
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+ source_url: https://goalkicker.com/books#system design handbook - aman barnwal
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+ upstream_license: unknown
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+ retrieved_at: legacy-unknown
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+ documents: 1
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+ - source: System Design Primer
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+ source_url: https://github.com/donnemartin/system-design-primer/blob/master/README.md
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+ upstream_license: unknown
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+ retrieved_at: legacy-unknown
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+ documents: 52
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+ - source: Tech Postmortems
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+ source_url: https://mail.tarsnap.com/tarsnap-announce/msg00035.html
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+ upstream_license: unknown
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+ retrieved_at: unknown
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+ documents: 10
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+ - source: Tech Postmortems Full
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+ source_url: https://www.elastic.co/blog/elastic-cloud-january-18-2019-incident-report
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+ upstream_license: unknown
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+ retrieved_at: unknown
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+ documents: 123
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+ - source: TypeScriptNotesForProfessionals
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+ source_url: https://goalkicker.com/books#typescript
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+ upstream_license: unknown
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+ retrieved_at: legacy-unknown
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+ documents: 1
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+ - source: Use The Index, Luke
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+ source_url: https://use-the-index-luke.com/sql/anatomy/slow-indexes
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+ upstream_license: unknown
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+ retrieved_at: legacy-unknown
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+ documents: 2
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