Datasetpublic

raj2708/stackexchange-all

StackExchange All Communities — Preprocessed All 362 StackExchange communities (including Stack Overflow) processed into QA pairs and standalone questions, ready for LLM pretraining and instruction tuning. Stats Field Value Communities 362 Dump date March 2026 License CC-BY-SA 4.0 Record Types instruction — Question + Answer pair (qa_pair) text — Unanswered question (standalone) Format { "id": "uuid-v4"… See the full description on the dataset page: https://huggingface.co/datasets/raj2708/stackexchange-all.

sourceHugging Facecc-by-sa-4.0updated 3mo agoView on Hugging Face

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Dataset Card

StackExchange All Communities — Preprocessed

All 362 StackExchange communities (including Stack Overflow) processed into QA pairs and standalone questions, ready for LLM pretraining and instruction tuning.

Stats

Field	Value
Communities	362
Dump date	March 2026
License	CC-BY-SA 4.0

Record Types

—`instruction` — Question + Answer pair (qa_pair)
—`text` — Unanswered question (standalone)

Format

json

{
  "id": "uuid-v4",
  "source": "stackexchange",
  "type": "instruction",
  "language": "en",
  "text": "Question: ...\n\nAnswer: ...",
  "metadata": {
    "url": "https://stackoverflow.com/questions/123",
    "community": "stackoverflow.com",
    "question_id": "123",
    "answer_id": "456",
    "tags": "python|list|sorting",
    "question_score": 42,
    "answer_score": 38,
    "is_accepted": true,
    "license": "CC-BY-SA-4.0",
    "scraped_at": "2026-06-19T00:00:00+00:00",
    "quality_score": 0.69,
    "token_count": 256,
    "instruction": "Question text...",
    "response": "Answer text..."
  }
}

Usage

python

from datasets import load_dataset

# Streaming (recommended)
ds = load_dataset("raj2708/stackexchange-all", split="train", streaming=True)
for row in ds:
    print(row["metadata"]["community"])
    print(row["text"][:300])
    break

Source

Processed from the official StackExchange data dump (March 2026): https://archive.org/details/stackexchange