Coding datasets
Collection
Datasets for high quality small LM model pre-training. • 3 items • Updated
repo_name string | text string |
|---|---|
Mirocow/pingcrm-yii2 | version: '2'
services:
php:
image: yiisoftware/yii2-php:7.1-apache
volumes:
- ~/.composer-docker/cache:/root/.composer/cache:delegated
- ./:/app:delegated
ports:
- '8000:80'<|endoftext|>const purgecss = require("@fullhuman/postcss-purgecss")({
content: ["./web/**/*.html"],
defaultExtra... |
philiply/philiply.github.io | "# philiply.com\n\n## Intro\n\nStoring dev code in github while personal site is hosted on philiply.(...TRUNCATED) |
benjdiasaad/MapReduce_WordCount | "package org.mbds.hadoop.wordcount;\n\nimport org.apache.hadoop.fs.Path;\nimport org.apache.hadoop.m(...TRUNCATED) |
jeffs06/ps4-enable-updates | "{\n \"title\": \"Enable Updates\",\n \"version\": \"1.0.0\",\n \"updated\": \"2001-01-01T00:00:0(...TRUNCATED) |
ArtUshak/wiki_tool_python | "[tool.poetry]\nname = \"wiki_tool_python\"\nversion = \"0.2.7\"\ndescription = \"Script to perform (...TRUNCATED) |
erickakoyama/cst336_hw4 | "{\n\t\"name\": \"cst336_hw4\",\n\t\"version\": \"1.0.0\",\n\t\"description\": \"\",\n\t\"main\": \"(...TRUNCATED) |
tearsduh/OG-VANITY | "import os\nimport threading\nimport time\n\nimport requests\nfrom colorama import Fore\n\nr1 = Fore(...TRUNCATED) |
eeng/shevek | "version: \"3\"\nservices:\n shevek:\n build: .\n depends_on:\n - mongo\n ports:\n (...TRUNCATED) |
pocke/rubocop-typed | "require: rubocop-typed\n\nAllCops:\n DisabledByDefault: true\n\nTyped:\n Enabled: true\n<|endofte(...TRUNCATED) |
consolidation/json-api-cli | "{\n \"name\": \"consolidation/jsonapi-cli\",\n \"description\": \"JSON API cli.\",\n \"lic(...TRUNCATED) |
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Incrementally uploaded Parquet shards under data/ with columns:
repo_name: strtext: str
Downloaded all repos from https://huggingface.co/datasets/thepowerfuldeez/the-stack-v2-train-smol-ids-updated and run
formatting / linting / import sort on all files
Using ruff + black + ty stack for python and biomejs for js / ts / html / css / json / graphql
Total amount of tokens: ~100B
Example:
from datasets import load_dataset
ds = load_dataset("thepowerfuldeez/the-stack-v2-train-smol-ids-updated-content", split="train", streaming=True)
for row in ds.take(3):
print(row)
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