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README.md

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+---
+license: apache-2.0
+language:
+  - en
+pretty_name: "StackOverflow-778K: Multi-Year Developer Q&A Dataset"
+size_categories:
+  - 100K<n<1M
+task_categories:
+  - text-classification
+  - question-answering
+  - text-generation
+  - feature-extraction
+  - zero-shot-classification
+tags:
+  - stackoverflow
+  - code
+  - nlp
+  - question-answering
+  - programming
+  - python
+  - javascript
+  - java
+  - developer
+  - community-qa
+  - html
+  - tags
+configs:
+  - config_name: full
+    data_files:
+      - split: train
+        path: data/stackoverflow_778k_full.jsonl
+  - config_name: unanswered
+    data_files:
+      - split: train
+        path: data/stackoverflow_unanswered.jsonl
+  - config_name: with_code
+    data_files:
+      - split: train
+        path: data/stackoverflow_with_code.jsonl
+  - config_name: high_quality
+    data_files:
+      - split: train
+        path: data/stackoverflow_high_quality.jsonl
+  - config_name: python
+    data_files:
+      - split: train
+        path: data/stackoverflow_python.jsonl
+  - config_name: javascript
+    data_files:
+      - split: train
+        path: data/stackoverflow_javascript.jsonl
+  - config_name: java
+    data_files:
+      - split: train
+        path: data/stackoverflow_java.jsonl
+  - config_name: csharp
+    data_files:
+      - split: train
+        path: data/stackoverflow_csharp.jsonl
+  - config_name: android
+    data_files:
+      - split: train
+        path: data/stackoverflow_android.jsonl
+---
+
+# 💻 StackOverflow-778K: Multi-Year Developer Q&A Dataset
+
+## Dataset Summary
+
+A large-scale Stack Overflow question dataset containing **778,929 unique
+questions** sampled across **7 years (2015–2022)**. Each question includes the
+raw HTML body, plain-text version, tags, score, view count, answer count, and
+a rich set of derived features for immediate ML use.
+
+Collected across **8 sampling runs** on Feb 27 2026, deduplicated to
+**778,929 unique questions** with only 2 duplicates removed.
+
+---
+
+## 📁 Files in This Dataset
+
+| File | Format | Rows | Description |
+|------|--------|------|-------------|
+| stackoverflow_778k_full.csv | CSV | 778,929 | Complete dataset |
+| stackoverflow_unanswered.csv | CSV | 224,733 | Questions with 0 answers |
+| stackoverflow_with_code.csv | CSV | 595,679 | Questions containing code blocks |
+| stackoverflow_high_quality.csv | CSV | 20,205 | Score ≥ 5 and answered |
+| stackoverflow_python.csv | CSV | 107,083 | Python-tagged questions |
+| stackoverflow_javascript.csv | CSV | 87,367 | JavaScript-tagged questions |
+| stackoverflow_java.csv | CSV | 54,077 | Java-tagged questions |
+| stackoverflow_csharp.csv | CSV | 40,420 | C#-tagged questions |
+| stackoverflow_android.csv | CSV | 42,004 | Android-tagged questions |
+| *.jsonl versions | JSONL | same | HuggingFace-native format for all above |
+
+---
+
+## 🏗️ Schema Reference
+
+| Column | Type | Description |
+|--------|------|-------------|
+| id | int64 | Unique Stack Overflow question ID |
+| title | string | Question title |
+| question_body | string | Raw HTML body (includes `<pre><code>` blocks) |
+| body_text | string | Plain text body (HTML stripped, code replaced with [CODE]) |
+| tags | string | Pipe-separated tags e.g. `python\|pandas\|dataframe` |
+| score | int64 | Net upvotes (can be negative) |
+| creation_date | string | ISO 8601 UTC creation timestamp |
+| year | int32 | Year extracted from creation_date |
+| month | int32 | Month (1–12) |
+| hour | int32 | Hour of day (0–23, UTC) |
+| dayofweek | int32 | Day of week (0=Monday, 6=Sunday) |
+| view_count | int64 | Total question views |
+| answer_count | int64 | Number of answers received |
+| body_len | int64 | Plain text body character length |
+| title_len | int64 | Title character length |
+| tag_count | int64 | Number of tags (1–5) |
+| code_block_cnt | int64 | Number of `<pre>` code blocks in body |
+| has_code | bool | True if question contains at least one code block |
+| is_unanswered | bool | True if answer_count == 0 |
+| is_popular | bool | True if view_count > 95th percentile (~2,599) |
+| is_viral | bool | True if view_count > 99th percentile (~11,513) |
+| is_highly_voted | bool | True if score >= 10 |
+| is_negative | bool | True if score < 0 |
+| score_bucket | string | "negative" / "zero" / "low" / "medium" / "high" |
+
+---
+
+## 📈 Dataset Statistics
+
+### Overview
+- **Total questions**: 778,929
+- **Date range**: 2015-02-14 → 2022-09-25
+- **Missing years**: 2019, 2021 (sampling gaps)
+- **Unique tags**: 41,754
+- **Zero nulls** in all core columns (2 questions have empty tags)
+
+### Score Distribution
+- Mean: 0.69 | Median: 0 | Std: 4.77
+- Range: -27 to 1,061
+- Negative score: 63,415 (8.14%)
+- Zero score: 461,977 (59.31%) — majority never upvoted
+- Score ≥ 10: 7,431 (0.95%)
+- Score ≥ 100: 246 (0.032%)
+
+### View Count Distribution
+- Mean: 794 | Median: 66 | P95: 2,599 | P99: 11,513
+- Max: 915,870 views
+- Popular (>P95): 38,944 (5.00%)
+- Viral (>P99): 7,789 (1.00%)
+
+### Answer Count
+- Unanswered: 224,733 (28.85%)
+- 1 answer: 387,399 (49.73%)
+- 2+ answers: 166,797 (21.42%)
+- Max answers on a single question: 36
+
+### Question Body
+- Has code block: 595,679 (76.47%)
+- Avg code blocks per question: 1.56
+- Avg body length: 557 chars | Median: 447 chars
+- Avg title length: 59 chars
+
+### Tags
+- Avg tags per question: 3.01
+- 5 tags (SO max): 117,671 (15.1%)
+- 1 tag: 92,409 (11.9%)
+
+### Questions Per Year
+  - -1: 2,694
+  - 2015: 99,664
+  - 2016: 120,887
+  - 2017: 20,791
+  - 2018: 20,096
+  - 2020: 99,676
+  - 2022: 415,121
+*(Note: 2017/2018 low counts reflect sampling focus; 2022 dominates at 53%)*
+
+### Top 10 Tags
+  - python (98,154)
+  - javascript (87,156)
+  - java (53,052)
+  - c# (40,178)
+  - android (38,543)
+  - html (36,572)
+  - php (34,656)
+  - reactjs (31,727)
+  - css (24,770)
+  - r (21,694)
+
+### Unanswered Rate by Top Tags
+- node.js: 36.46% unanswered (hardest to answer)
+- reactjs: 35.31%
+- flutter: 33.44%
+- typescript: 31.19%
+- android: 30.49%
+- python: 28.69%
+- java: 26.88%
+- css: 19.59% (easiest to get answered)
+- jquery: 18.30%
+
+---
+
+## ⚠️ Known Issues & Caveats
+
+1. **YEAR GAPS**: Years 2019 and 2021 are absent — this is a sampling artifact, not
+   a gap in SO activity. Do not use for temporal trend analysis without noting this.
+
+2. **2022 DOMINANCE**: 415,121 questions (53%) are from 2022. The dataset skews
+   heavily toward recent questions. Stratify by year if balance matters.
+
+3. **RAW HTML**: `question_body` contains raw HTML including `&lt;`, `&gt;`,
+   `<pre><code>` blocks. Use `body_text` for NLP tasks. Use `question_body` for
+   HTML-aware or code-extraction tasks.
+
+4. **SCORE SKEW**: 59.3% of questions have score=0. Mean (0.69) is misleading.
+   Use `score_bucket` or `is_highly_voted` for classification tasks.
+
+5. **VIEW COUNT SKEW**: Mean (794) is 12× the median (66) due to viral questions.
+   Use log-transformed view_count for regression tasks.
+
+6. **PIPE-SEPARATED TAGS**: The `tags` column uses `|` as delimiter e.g.
+   `python|pandas|dataframe`. Split with `str.split("|")` before use.
+
+7. **CODE PLACEHOLDER**: In `body_text`, all `<pre>...</pre>` blocks are replaced
+   with the token `[CODE]`. The original HTML is preserved in `question_body`.
+
+8. **DUPLICATE IDs**: 2 exact duplicates were found and removed during processing.
+
+---
+
+## 🚀 Quick Start
+
+### pandas
+
+```python
+import pandas as pd
+
+# Full dataset
+df = pd.read_csv("data/stackoverflow_778k_full.csv")
+
+# High quality only (score >= 5, answered)
+hq = pd.read_csv("data/stackoverflow_high_quality.csv")
+
+# Python questions only
+py = pd.read_csv("data/stackoverflow_python.csv")
+
+# Unanswered questions (good for difficulty modeling)
+ua = pd.read_csv("data/stackoverflow_unanswered.csv")
+
+# Split tags into list
+df["tag_list"] = df["tags"].str.split("|")
+
+# Filter by year
+df_2022 = df[df["year"] == 2022]
+
+# Log-transform view count for regression
+import numpy as np
+df["log_views"] = np.log1p(df["view_count"])
+```
+
+### HuggingFace datasets
+
+```python
+from datasets import load_dataset
+
+REPO = "Omarrran/StackOverflow_778K_Multi_Year_Developer_QA_Dataset"
+
+# Full 778K
+ds = load_dataset(REPO, "full")
+
+# High quality only
+hq = load_dataset(REPO, "high_quality")
+
+# Python questions
+py = load_dataset(REPO, "python")
+
+# Unanswered questions
+ua = load_dataset(REPO, "unanswered")
+
+# Convert to pandas
+df = ds["train"].to_pandas()
+```
+
+---
+
+## 🔬 Suggested Research Tasks
+
+| Task | Config | Key Columns |
+|------|--------|-------------|
+| Answer prediction (binary) | full | title, body_text, tags → is_unanswered |
+| Score regression | full | title, body_text, tags → score |
+| View count prediction | full | title, tags, score → log(view_count) |
+| Tag recommendation | full | title, body_text → tags |
+| Code vs no-code classification | full | body_text → has_code |
+| Question quality scoring | full | title, body_text → score_bucket |
+| LLM fine-tuning (Q&A) | high_quality | title + body_text as prompt |
+| Difficulty estimation | full | tags → unanswered rate per tag |
+| Time-of-day analysis | full | hour, dayofweek → view_count / score |
+| Language-specific modeling | python/javascript/java | any |
+
+---
+
+## 📋 Citation
+
+```bibtex
+@dataset{malik2026stackoverflow,
+  author    = {Malik, Omar Haq Nawaz},
+  title     = {StackOverflow-778K: Multi-Year Developer Q&A Dataset},
+  year      = {2026},
+  publisher = {HuggingFace},
+  url       = {https://huggingface.co/datasets/Omarrran/StackOverflow_778K_Multi_Year_Developer_QA_Dataset},
+  questions = {778929},
+  years     = {2015-2022},
+  license   = {Apache-2.0}
+}
+```
+
+---
+
+## 👤 Author
+
+**Omar Haq Nawaz Malik** (HuggingFace: [Omarrran](https://huggingface.co/Omarrran))
+AI Engineer & NLP Researcher | BITS Pilani | Srinagar, Kashmir