This repository contains the full commercial *.ch Swiss Web Premium dataset from OptiTransfer. Access is granted to licensed customers only. All 22 production files (Parquet, JSONL, language splits, RAG chunks) delivered instantly upon payment settlement (bank transfer, TWINT, or crypto). Contact data@optitransfer.ch for licensing. Please complete all fields to request access.

*.ch Swiss Web Premium (A+) -- Full Dataset

Grade A+ -- 112.4M tokens -- 110,491 records -- 29 languages -- 22 production files -- 554.1 MB

The complete production release of OptiTransfer's Swiss web corpus. 110,491 documents from the .ch TLD namespace, independently quality-scored (avg 93.3/100, minimum 90), PII-redacted, and SHA256-verified. Delivered in Parquet, JSONL, language splits, and pre-built RAG chunks.

This is the full commercial dataset. For evaluation, see the free sample repository (10,000 records).

Dataset Summary

Property	Value
Product Name	*.ch Swiss Web Premium (A+)
Dataset ID	cache_ch_ac906c8b
Total Records	110,491 unique source URLs
Total Tokens	112,428,245 (tiktoken cl100k_base / GPT-4)
Total Characters	367.5M
Total Words	51,785,182
Quality Grade	A+ (avg 93.3/100, floor 90, ceiling 96)
Languages	29 (67.1% German, 20.0% French, 7.9% English, 4.4% Italian + 25 more)
Content Categories	13
Unique Domains	19,927 (domain cap: 500 records per domain)
Crawl Source	Common Crawl CC-MAIN-2026-12
Total Size	554.1 MB (all formats combined)
RAG Chunks	196,304 pre-built (512-token windows, 64-token overlap)
Compliance	EU AI Act, FADP-aligned, Swiss-hosted processing
Slop Score	0.001 mean (99.9% human-authored content)
Certificate	OT-CERT-CACHE_CH

Repository Contents

Parquet Shards (7 files, 140.3 MB)

Optimal for Spark, Arrow, DuckDB, and BigQuery. Directly loadable via the HuggingFace Datasets library.

File	Records	Size
`data/train-00000-of-00007.parquet`	17,170	22.6 MB
`data/train-00001-of-00007.parquet`	19,124	21.8 MB
`data/train-00002-of-00007.parquet`	18,577	23.2 MB
`data/train-00003-of-00007.parquet`	19,030	24.5 MB
`data/train-00004-of-00007.parquet`	18,147	23.9 MB
`data/train-00005-of-00007.parquet`	17,925	23.6 MB
`data/train-00006-of-00007.parquet`	518	0.7 MB

JSONL Shards (7 files, 147.0 MB compressed)

Universal compatibility. Same records as Parquet in JSONL.gz format.

File	Size
`jsonl/cache_ch_ac906c8b_001.jsonl.gz`	23.9 MB
`jsonl/cache_ch_ac906c8b_002.jsonl.gz`	23.0 MB
`jsonl/cache_ch_ac906c8b_003.jsonl.gz`	24.3 MB
`jsonl/cache_ch_ac906c8b_004.jsonl.gz`	25.7 MB
`jsonl/cache_ch_ac906c8b_005.jsonl.gz`	25.0 MB
`jsonl/cache_ch_ac906c8b_006.jsonl.gz`	24.5 MB
`jsonl/cache_ch_ac906c8b_007.jsonl.gz`	0.7 MB

Language Splits (4 files, 139.0 MB compressed)

Pre-filtered by language for targeted training and evaluation.

File	Language	Records	Size
`language_splits/cache_ch_ac906c8b_de.jsonl.gz`	German	74,130	95.4 MB
`language_splits/cache_ch_ac906c8b_fr.jsonl.gz`	French	22,072	28.1 MB
`language_splits/cache_ch_ac906c8b_en.jsonl.gz`	English	8,695	10.3 MB
`language_splits/cache_ch_ac906c8b_it.jsonl.gz`	Italian	4,823	5.3 MB

RAG Chunks (4 files, 127.7 MB compressed)

196,304 retrieval-ready chunks with 512-token windows and 64-token overlap.

File	Size
`rag/cache_ch_ac906c8b_rag_001.jsonl.gz`	31.3 MB
`rag/cache_ch_ac906c8b_rag_002.jsonl.gz`	32.4 MB
`rag/cache_ch_ac906c8b_rag_003.jsonl.gz`	34.0 MB
`rag/cache_ch_ac906c8b_rag_004.jsonl.gz`	30.0 MB

Documentation

File	Description
`reports/OptiTransfer_QA_Report_v6_cache_ch_ac906c8b.pdf`	43-page QA report (v6)
`SHA256SUMS`	SHA256 checksums for all 22 production files

Quick Start

Load via HuggingFace Datasets

from datasets import load_dataset

ds = load_dataset("OptiTransferData/swiss-web-premium-ch-full")
print(f"{len(ds['train'])} records")
print(ds["train"][0])

Load from Parquet

import pandas as pd

# Load a single shard
df = pd.read_parquet("train-00000-of-00007.parquet")
print(df[["url", "language", "quality_score", "token_count"]].head())

Filter by Quality and Language

# Get top-tier German records for fine-tuning
high_quality_de = df[(df.quality_score >= 95) & (df.language == "de")]
print(f"{len(high_quality_de)} premium German records")

Load from JSONL

import gzip, json

with gzip.open("cache_ch_ac906c8b_001.jsonl.gz", "rt") as f:
    for line in f:
        record = json.loads(line)
        print(record["url"], record["quality_score"], record["token_count"])

Use Language Splits

import gzip, json

# Load only French records
with gzip.open("cache_ch_ac906c8b_fr.jsonl.gz", "rt") as f:
    fr_records = [json.loads(line) for line in f]
print(f"{len(fr_records)} French records")

Use RAG Chunks

import gzip, json

with gzip.open("cache_ch_ac906c8b_rag_001.jsonl.gz", "rt") as f:
    chunks = [json.loads(line) for line in f]
print(f"{len(chunks)} RAG chunks (512-token, 64-overlap)")

Access and Licensing

This is a commercial dataset. Access is granted upon payment settlement.

Contact data@optitransfer.ch for licensing and pricing.

Method	Details
Bank Transfer (SEPA / SWIFT)	Invoice provided with full banking details upon agreement
TWINT	Swiss instant payment -- settle directly via TWINT (details provided on invoice)
Crypto (BTC / ETH / SOL)	Wallet addresses provided on request -- contact us for details

Upon payment confirmation, access is granted within 24 hours via HuggingFace secure infrastructure.

data@optitransfer.ch -- optitransfer.ch

Licence and Attribution

Source data: Common Crawl Foundation Terms of Use (commoncrawl.org/terms-of-use)
Processing and packaging: OptiTransfer.ch proprietary pipeline (Tier 6 Sidecar sprint_20_v6)
Redistribution: Subject to OptiTransfer.ch Terms of Service

Citation

@dataset{optitransfer_ch_2026,
  title     = {*.ch Swiss Web Premium (A+)},
  author    = {OptiTransfer},
  year      = {2026},
  url       = {https://huggingface.co/datasets/OptiTransferData/swiss-web-premium-ch-full},
  note      = {110,491 records, 112.4M tokens, Grade A+, .ch TLD, EU AI Act-aligned}
}

Product ID: cache_ch_ac906c8b -- Source: CC-MAIN-2026-12 -- Generated: 2026-03-24 -- Pipeline: OptiTransfer.ch Tier 6 Sidecar sprint_20_v6 -- Certificate: OT-CERT-CACHE_CH

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