Stackoverflow
mlfoundations-dev_-_llama3-1_8b_mlfoundations-dev-stackoverflow_25000tasks__5p-ggufmlfoundations-dev_-_stackoverflow_5000tasks_0p-ggufmlfoundations-dev_-_stackoverflow_10000tasks_0p-ggufmlfoundations-dev_-_llama3-1_8b_mlfoundations-dev-stackoverflow_25000tasks_1p-ggufmlfoundations-dev_-_llama3-1_8b_mlfoundations-dev-stackoverflow_25000tasks__75p-ggufmlfoundations-dev_-_stackoverflow_5000tasks_.25p-ggufmlfoundations-dev_-_stackoverflow_5000tasks_1p-ggufmlfoundations-dev_-_stackoverflow_10000tasks_.25p-gguf
stackoverflow-posts
StackOverflow Posts Markdown
Dataset Summary
This dataset contains all posts submitted to StackOverflow before the 14th of June 2023 formatted as Markdown text.
The dataset contains ~60 Million posts, totaling ~35GB in size and ~65 billion characters of text.
The data is sourced from Internet Archive StackExchange Data Dump.
Dataset Structure
Each record corresponds to one post of a particular type.
Original ordering from the data dump is not exactly preserved… See the full description on the dataset page: https://huggingface.co/datasets/mikex86/stackoverflow-posts.stackoverflow-with-meta-data
Dataset Card for "stackoverflow-with-meta-data"
More Information needed
stackoverflow-qaEmploying the MTEB evaluation framework's dataset version, utilize the code below for assessment:
import mteb
import logging
from sentence_transformers import SentenceTransformer
from mteb import MTEB
logger = logging.getLogger(__name__)
model_name = 'intfloat/e5-base-v2'
model = SentenceTransformer(model_name)
tasks = mteb.get_tasks(
tasks=[
"AppsRetrieval",
"CodeFeedbackMT",
"CodeFeedbackST",
"CodeTransOceanContest",
"CodeTransOceanDL"… See the full description on the dataset page: https://huggingface.co/datasets/CoIR-Retrieval/stackoverflow-qa.StackOverflowQA
StackOverflowQA
An MTEB dataset
Massive Text Embedding Benchmark
The dataset is a collection of natural language queries and their corresponding response which may include some text mixed with code snippets. The task is to retrieve the most relevant response for a given query.
Task category
t2t
Domains
Programming, Written
Reference
https://arxiv.org/abs/2407.02883
How to evaluate on this task
You can evaluate an embedding model on this dataset using… See the full description on the dataset page: https://huggingface.co/datasets/mteb/StackOverflowQA.stackoverflow-clean
Dataset Card for "stackoverflow-clean"
More Information needed
stackoverflow-questions
Dataset Card for [Stackoverflow Post Questions]
Dataset Description
Companies that sell Open-source software tools usually hire an army of Customer representatives to try to answer every question asked about their tool. The first step in this process
is the prioritization of the question. The classification scale usually consists of 4 values, P0, P1, P2, and P3, with different meanings across every participant in the industry. On
the other hand, every software developer… See the full description on the dataset page: https://huggingface.co/datasets/pacovaldez/stackoverflow-questions.