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README.md

@@ -1,3 +1,76 @@
 ---
-license: mit
+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}
+}
+```