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README.md

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----
-license: cc-by-4.0
-language:
-- en
-task_categories:
-- text-classification
-tags:
-- interview-questions
-- computer-science
-- placements
-pretty_name: AskedBefore CS Interview Questions
-size_categories:
-- 1K<n<10K
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: askedbefore_cs_interview_questions.csv
----
-
-# AskedBefore CS Interview Questions
-
-1,350 computer science interview questions, each labelled with its **subject** (9 classes) and **difficulty** (easy / medium / hard). Built for training and evaluating question-topic classifiers, and as a practice bank for placement and internship interviews.
-
-## Dataset structure
-
-| Column | Description |
-|---|---|
-| `id` | Unique id (`ab-0000` to `ab-1349`) |
-| `question` | The interview question, one sentence |
-| `subject` | One of 9 subjects (below) |
-| `difficulty` | `easy`, `medium` or `hard` |
-| `source_type` | `original`: written for this dataset, not copied from any website |
-| `version` | `v1` (first 720 questions) or `v2` (630 added in the second release) |
-
-**Subjects (150 questions each):** DSA, Operating Systems, DBMS & SQL, Computer Networks, OOP, System Design, Machine Learning, Statistics & Analytics, Behavioral / HR.
-
-**Difficulty per subject:** about 38 easy, 86 medium and 26 hard.
-
-## How it was made
-
-- Questions cover concepts commonly tested in software engineering, ML and data interviews.
-- Every question is **written in original wording**. None are copied from interview-prep websites, problem platforms or company question lists.
-- Questions were drafted with AI assistance and then reviewed and labelled by the maintainer.
-- Difficulty labels are a judgement call and should be treated as approximate.
-
-## Versions
-
-- **v1:** 720 questions (80 per subject).
-- **v2:** 630 more questions (70 per subject), for 1,350 total. Ids of v1 questions did not change.
-
-## Intended uses
-
-- Training text classifiers that tag a question with its subject (baselines: TF-IDF + Logistic Regression, Random Forest, XGBoost).
-- Practice question banks for students preparing for technical interviews.
-
-## Limitations
-
-- Questions are short and in English only.
-- The dataset does **not** say which company asked which question. It covers concepts, not company-specific reports.
-- Some questions sit between subjects (for example, LRU cache appears in both DSA and System Design interviews); each has one label.
-
-## License
-
-[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). You can share and adapt it, including commercially, as long as you give credit.
-
-## Citation
-
-```
-@misc{askedbefore_cs_interview_questions,
-  title  = {AskedBefore CS Interview Questions},
-  author = {Aditya},
-  year   = {2026},
-  url    = {https://huggingface.co/datasets/YOUR_USERNAME/askedbefore-cs-interview-questions}
-}
-```