texttiiuae/falcon-refinedwebllm-pretrainingweb-crawlcommoncrawlenglishfalconodc-byparquetlarge-scaletext

Falcon RefinedWeb Corpus

Free

Open dataset

Sample structure: 100 / 100
3 download links issued
Seller: DataBazaar
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Category
Text
Records
968,000,015 rows
Format
PARQUET
Update Frequency
Not documented
Collection Method
auto_imported_huggingface_federated
PII
No flagged field names; not a privacy audit
File Size
~1599273.37 MB
Download links issued
3

Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License
odc-by
Source / creator
tiiuae/falcon-refinedweb
Collection method
RefinedWeb is built from CommonCrawl WARC files using the Macrodata Refinement (MDR) pipeline described in the paper. The pipeline applies URL filtering against blocklists, language identification (English-only), trafilatura-based text extraction, document- and line-level heuristic quality filters (adapted from Gopher and C4), and large-scale fuzzy deduplication (MinHash) plus exact substring deduplication. The public release is a ~500B-token extract of the full 5T-token internal corpus.
Coverage start
Not documented
Coverage end
Not documented
Data last updated
Not documented
Update schedule
Not documented

Source documentation ↗

License terms ↗

- English-only; no multilingual coverage. - Time coverage ends with the CommonCrawl dumps used at construction (through early 2023); dataset is static and not refreshed. - Despite filtering, web data inevitably contains biased, toxic, PII-adjacent, or copyrighted material — TII does not claim full removal. - This is only ~10% of the full RefinedWeb corpus used internally by TII; downstream model quality may differ from the original Falcon training run. - Not deduplicated against common LLM evaluation benchmarks — benchmark contamination is plausible.

Sample structure score: 100 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (JSON) on 2026-10-09. All records in the provided sample were checked.

CheckPointsEvidence
Populated cells50 / 5060 of 60 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types30 / 3060 of 60 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape20 / 2010 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.
Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

FieldMissing cellsMost common typeOther populated types
content0 / 10string0 / 10
url0 / 10string0 / 10
timestamp0 / 10object0 / 10
dump0 / 10string0 / 10
segment0 / 10number0 / 10
image_urls0 / 10object0 / 10
How the score is calculated, its limitations, and how to correct an assessment →

About this data

English web corpus derived from CommonCrawl through stringent filtering and deduplication. Comprises approximately 968 million documents used to train the Falcon language model family.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example
python3 retrieve-dataset.py e44da883-fe75-4faf-88ba-9ecf2125b883 --output dataset.bin
Full supplier documentation
## Overview Falcon RefinedWeb is a large-scale English web corpus released by the Technology Innovation Institute (TII) in 2023, derived from CommonCrawl through aggressive filtering and large-scale fuzzy + exact deduplication. The public release contains ~600 million documents (~500B tokens of the full 5T-token internal corpus) in parquet format. It was used to train the Falcon-7B/40B/180B LLM family, with TII reporting that web-only models trained on RefinedWeb match or exceed those trained on curated mixes like The Pile. ## Schema - `content` — string — the cleaned document text - `url` — string — source URL of the page - `timestamp` — string — CommonCrawl snapshot timestamp - `dump` — string — CommonCrawl dump identifier (e.g. CC-MAIN-2023-06) - `segment` — string — CommonCrawl WARC segment - `image_urls` — list — extracted image links with alt text (multimodal-friendly) ## Sources - HuggingFace: https://huggingface.co/datasets/tiiuae/falcon-refinedweb — license: ODC-By 1.0 - Paper: "The RefinedWeb Dataset for Falcon LLM" (arXiv:2306.01116) ## Methodology RefinedWeb is built from CommonCrawl WARC files using the Macrodata Refinement (MDR) pipeline described in the paper. The pipeline applies URL filtering against blocklists, language identification (English-only), trafilatura-based text extraction, document- and line-level heuristic quality filters (adapted from Gopher and C4), and large-scale fuzzy deduplication (MinHash) plus exact substring deduplication. The public release is a ~500B-token extract of the full 5T-token internal corpus. ## Known gaps & limitations - English-only; no multilingual coverage. - Time coverage ends with the CommonCrawl dumps used at construction (through early 2023); dataset is static and not refreshed. - Despite filtering, web data inevitably contains biased, toxic, PII-adjacent, or copyrighted material — TII does not claim full removal. - This is only ~10% of the full RefinedWeb corpus used internally by TII; downstream model quality may differ from the original Falcon training run. - Not deduplicated against common LLM evaluation benchmarks — benchmark contamination is plausible. ## Intended use & out-of-scope - Intended: LLM pretraining and continued pretraining, large-scale RAG corpora, lexical/linguistic research, retrieval index construction. - Out of scope: any use requiring verified factuality, PII-free content, or benchmark-leakage-free training data without additional filtering. _Federated dataset: 5,534 parquet shards, 1561.79 GB total. Queries and downloads stream through the DataBazaar API._ Original supplier listing: Falcon RefinedWeb Massive English web corpus (~600M docs) from TII, built via stringent filtering and deduplication of CommonCrawl. Powers the Falcon LLM family. ODC-By 1.0 licensed, parquet format.

Schema

NameTypeDescription
contentVARCHARstring — the cleaned document text
urlVARCHARstring — source URL of the page
timestampTIMESTAMPstring — CommonCrawl snapshot timestamp
dumpVARCHARstring — CommonCrawl dump identifier (e.g. CC-MAIN-2023-06)
segmentVARCHARstring — CommonCrawl WARC segment
image_urlsVARCHAR[][]list — extracted image links with alt text (multimodal-friendly)

Sample Data

Preview a sample of the data before downloading.

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For AI Agents

Via MCP Server
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Falcon RefinedWeb Corpus" })
// Found: e44da883-fe75-4faf-88ba-9ecf2125b883
get_download_url({ dataset_id: "e44da883-fe75-4faf-88ba-9ecf2125b883" })  // free — sign in with MCP OAuth first
Via REST API
# Free dataset — sign in or use your account API key:
curl https://api.databazaar.io/datasets/e44da883-fe75-4faf-88ba-9ecf2125b883/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"