Datasets:

sanjeevafk
/

depthapi_technical_corpus

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-# License Summary
-This dataset is mixed-license. Downstream consumers must respect the upstream license attached to each chunk.
-| Upstream License | Documents |
-| --- | ---: |
-| unknown | 5000 |
-## Policy
-- No dataset-wide MIT claim is made for upstream source content.
-- Per-chunk `upstream_license`, `source`, and `source_url` fields are authoritative.
-- Unknown licenses remain in the export and should be filtered for conservative enterprise use.

README.md DELETED Viewed

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----
-language:
-- en
-tags:
-- rag
-- retrieval
-- technical-docs
-- programming
-size_categories:
-- 100K<n<1M
----
-# depthapi_technical_corpus
-## Summary
-`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.
-## Ingestion Process
-The corpus was assembled from multiple upstream source types and normalized through a reproducible local pipeline backed by Supabase.
-- `Scrapling` was used for live technical documentation crawling and structured HTML extraction from documentation websites.
-- [`D4Vinci/Scrapling`](https://github.com/D4Vinci/Scrapling) was used for live technical documentation crawling and structured HTML extraction from documentation websites.
-- [`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.
-- Source material was then normalized, rechunked deterministically, deduplicated, validated, and exported to parquet for Hugging Face datasets compatibility.
-## Schema
-Each chunk includes:
-- `chunk_id`
-- `source`
-- `source_url`
-- `upstream_license`
-- `document_id`
-- `chunk_index`
-- `retrieved_at`
-- `chunker_version`
-- `content_hash`
-- `content`
-## Usage
-```python
-from datasets import load_dataset
-dataset = load_dataset("sanjeevafk/depthapi_technical_corpus", split="train", streaming=True)
-for row in dataset.take(3):
-    print(row["chunk_id"], row["source"], row["upstream_license"])
-```
-## Retrieval Benchmark Example
-Use `data/research_corpus/benchmarks/queries.jsonl` with your retriever and score against `qrels.jsonl`.
-## Licensing
-This is a mixed-license dataset. Downstream users must inspect `upstream_license` and `SOURCES_MANIFEST.yaml` before redistribution or commercial use.

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-version: 1
-sources:
-  - source: AlgorithmsNotesForProfessionals
-    source_url: https://goalkicker.com/books#algorithms
-    upstream_license: unknown
-    retrieved_at: legacy-unknown
-    documents: 7
-  - source: BashNotesForProfessionals
-    source_url: https://goalkicker.com/books#bash
-    upstream_license: unknown
-    retrieved_at: legacy-unknown
-    documents: 9
-  - source: CPython Docs
-    source_url: file://datasets/cpython/Doc/reference/executionmodel.rst
-    upstream_license: unknown
-    retrieved_at: unknown
-    documents: 685
-  - source: CSSNotesForProfessionals
-    source_url: https://goalkicker.com/books#css
-    upstream_license: unknown
-    retrieved_at: legacy-unknown
-    documents: 9
-  - source: Cracking the coding interview 6th edition
-    source_url: https://goalkicker.com/books#cracking the coding interview 6th edition
-    upstream_license: unknown
-    retrieved_at: legacy-unknown
-    documents: 13
-  - source: Data Engineering Cookbook
-    source_url: https://goalkicker.com/books#data engineering cookbook
-    upstream_license: unknown
-    retrieved_at: legacy-unknown
-    documents: 4
-  - source: Deep Learning with Python
-    source_url: https://www.manning.com/books/deep-learning-with-python-third-edition
-    upstream_license: unknown
-    retrieved_at: legacy-unknown
-    documents: 41
-  - source: Eloquent_JavaScript
-    source_url: https://goalkicker.com/books#eloquent_javascript
-    upstream_license: unknown
-    retrieved_at: legacy-unknown
-    documents: 5
-  - source: Full-Stack FastAPI Template
-    source_url: unknown
-    upstream_license: unknown
-    retrieved_at: unknown
-    documents: 13
-  - source: GitNotesForProfessionals
-    source_url: https://goalkicker.com/books#git
-    upstream_license: unknown
-    retrieved_at: legacy-unknown
-    documents: 8
-  - source: Introduction to Algorithms
-    source_url: https://goalkicker.com/books#introduction to algorithms
-    upstream_license: unknown
-    retrieved_at: legacy-unknown
-    documents: 27
-  - source: JavaNotesForProfessionals
-    source_url: https://goalkicker.com/books#java
-    upstream_license: unknown
-    retrieved_at: legacy-unknown
-    documents: 30
-  - source: JavaScriptNotesForProfessionals
-    source_url: https://goalkicker.com/books#javascript
-    upstream_license: unknown
-    retrieved_at: legacy-unknown
-    documents: 22
-  - source: Kubernetes Website EN
-    source_url: file://datasets/website/content/en/docs/concepts/workloads/controllers/job.md
-    upstream_license: unknown
-    retrieved_at: unknown
-    documents: 872
-  - source: LinuxNotesForProfessionals
-    source_url: https://goalkicker.com/books#linux
-    upstream_license: unknown
-    retrieved_at: legacy-unknown
-    documents: 3
-  - source: MDN Content EN-US
-    source_url: file://datasets/content/files/en-us/web/api/paymentresponse/retry/index.md
-    upstream_license: unknown
-    retrieved_at: unknown
-    documents: 2639
-  - source: Node.js API Docs
-    source_url: file://datasets/node/doc/api/worker_threads.md
-    upstream_license: unknown
-    retrieved_at: unknown
-    documents: 184
-  - source: NodeJSNotesForProfessionals
-    source_url: https://goalkicker.com/books#nodejs
-    upstream_license: unknown
-    retrieved_at: legacy-unknown
-    documents: 10
-  - source: Python Data Science Handbook
-    source_url: https://goalkicker.com/books#python data science handbook
-    upstream_license: unknown
-    retrieved_at: legacy-unknown
-    documents: 17
-  - source: PythonNotesForProfessionals
-    source_url: https://goalkicker.com/books#python
-    upstream_license: unknown
-    retrieved_at: legacy-unknown
-    documents: 32
-  - source: React.dev Content
-    source_url: file://datasets/react.dev/src/content/reference/dev-tools/react-performance-tracks.md
-    upstream_license: unknown
-    retrieved_at: unknown
-    documents: 169
-  - source: ReactJSNotesForProfessionals
-    source_url: https://goalkicker.com/books#reactjs
-    upstream_license: unknown
-    retrieved_at: legacy-unknown
-    documents: 3
-  - source: SQL Tutorial
-    source_url: https://goalkicker.com/books#sql tutorial
-    upstream_license: unknown
-    retrieved_at: legacy-unknown
-    documents: 2
-  - source: SQLNotesForProfessionals
-    source_url: https://goalkicker.com/books#sql
-    upstream_license: unknown
-    retrieved_at: legacy-unknown
-    documents: 7
-  - source: System Design Handbook - Aman Barnwal
-    source_url: https://goalkicker.com/books#system design handbook - aman barnwal
-    upstream_license: unknown
-    retrieved_at: legacy-unknown
-    documents: 1
-  - source: System Design Primer
-    source_url: https://github.com/donnemartin/system-design-primer/blob/master/README.md
-    upstream_license: unknown
-    retrieved_at: legacy-unknown
-    documents: 52
-  - source: Tech Postmortems
-    source_url: https://mail.tarsnap.com/tarsnap-announce/msg00035.html
-    upstream_license: unknown
-    retrieved_at: unknown
-    documents: 10
-  - source: Tech Postmortems Full
-    source_url: https://www.elastic.co/blog/elastic-cloud-january-18-2019-incident-report
-    upstream_license: unknown
-    retrieved_at: unknown
-    documents: 123
-  - source: TypeScriptNotesForProfessionals
-    source_url: https://goalkicker.com/books#typescript
-    upstream_license: unknown
-    retrieved_at: legacy-unknown
-    documents: 1
-  - source: Use The Index, Luke
-    source_url: https://use-the-index-luke.com/sql/anatomy/slow-indexes
-    upstream_license: unknown
-    retrieved_at: legacy-unknown
-    documents: 2

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