The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
url: string
text: string
warc: string
crawl_date: string
hit_count: int64
term: string
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 758
to
{'url': Value('string'), 'snippet': Value('string'), 'warc': Value('string'), 'crawl_date': Value('string'), 'hit_count': Value('int64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 220, in _generate_tables
yield Key(file_idx, batch_idx), self._cast_table(pa_table)
~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
url: string
text: string
warc: string
crawl_date: string
hit_count: int64
term: string
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 758
to
{'url': Value('string'), 'snippet': Value('string'), 'warc': Value('string'), 'crawl_date': Value('string'), 'hit_count': Value('int64')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Common Crawl SEO & AEO/GEO Dataset — CC-MAIN-2026-21
Web pages from the May 2026 Common Crawl (CC-MAIN-2026-21) that mention SEO, Answer Engine Optimization (AEO), or Generative Engine Optimization (GEO) — filtered to English content and ranked by Common Crawl Web Graph harmonic centrality and PageRank.
🔎 Interactive Explorer
A Gradio app to search, filter, and analyze this dataset: https://huggingface.co/spaces/metehan777/cc-seo-explorer
Tabs: SEO raw search · AEO+GEO combined search (full-text) · N-gram analysis · Domain leaderboard · Distinctive terms · Topic clusters · SEO filtered.
Files
SEO
| File | Rows | Description |
|---|---|---|
seo_CC-MAIN-2026-21_raw.parquet |
4.6M | All English pages with exact word "seo" — snippet (500c) |
seo_CC-MAIN-2026-21_filtered.parquet |
~1.3M | Quality-filtered SEO + domain scores |
seo_emb_filtered_part00{0-3}.parquet |
~1.3M | MiniLM embeddings (384-dim, float16) of filtered SEO |
Answer Engine Optimization (AEO)
| File | Rows | Description |
|---|---|---|
answer_engine_optimization_CC-MAIN-2026-21_raw.parquet |
143K | Raw matches, snippet |
answer_engine_optimization_CC-MAIN-2026-21_full_text.parquet |
130K | Raw, text up to 4000c |
answer_engine_optimization_CC-MAIN-2026-21_quality_fulltext.parquet |
58K | Quality-filtered, full page text (~14.7K chars avg) |
answer_engine_optimization_final.json |
58K | Quality-filtered + domain scores + composite |
answer_engine_optimization_embeddings.parquet |
58K | MiniLM embeddings (384-dim) |
answer_engine_optimization_ngrams.json |
— | N-gram analysis (49.9M tokens) |
answer_engine_optimization_clusters.json |
20 | Auto-named semantic topic clusters |
Generative Engine Optimization (GEO)
Same file set as AEO (234K raw / 213K full text / ~75K quality, 79M tokens).
Cross-corpus analysis
| File | Description |
|---|---|
discriminative_terms.json |
Log-odds ratio (Monroe et al. 2008) — words distinguishing AEO vs GEO vs SEO |
Schema
Raw / snippet parquet
url (string) — Original page URL
snippet (string) — First 500 chars of extracted text
warc (string) — Source WET file name
crawl_date (string) — WARC crawl timestamp (ISO 8601)
hit_count (int64) — Exact term matches in the page
Quality-filtered (JSON / quality_fulltext parquet)
Additional fields:
text (string) — Full extracted page text (quality_fulltext only)
domain (string) — Registered domain (eTLD+1, via tldextract)
hc (float) — Harmonic Centrality (CC Web Graph 2026 mar-apr-may)
pr (float) — PageRank (CC Web Graph 2026 mar-apr-may)
q_score (float) — Text quality score (FineWeb + Gopher + C4)
composite (float) — 0.5×log_norm(HC) + 0.3×q_score + 0.2×min(hits/20,1)
n_words (int) — Word count
Embeddings parquet
url, domain (string)
e0 … e383 (float16) — sentence-transformers/all-MiniLM-L6-v2, normalized
Key Findings
Term prevalence (per 100K WET files, English):
- SEO: extremely common (~176 matches/file)
- GEO: 234,358 raw matches
- AEO: 143,327 raw matches → GEO is ~60% more discussed than AEO
Distinctive vocabulary (log-odds):
- AEO ↔
customer, hubspot, software, sales, platform, premium(B2B SaaS framing) - GEO ↔
geo, generative, chatgpt, audio, strategy, brand(generative-AI framing) - SEO ↔
wordpress, blog, plugin, menu, login(classic web/blog)
Quality Filtering
All quality-filtered files apply the following pipeline (inspired by FineWeb, Gopher, and C4):
- Language: CC's
WARC-Identified-Content-Language = eng - Word count: 50–100,000 words
- Mean word length: 3–10 characters
- Alphabet ratio: > 50%
- Bullet fraction: < 80% of lines
- Terminal punctuation: > 15% of lines end with
.!?"' - Symbol density: < 8%
- Repetition: > 15% unique word ratio
- Junk phrases: < 3 cookie/spam phrases
- Navigation pages: < 70% short lines (< 3 words)
- Free-hosting blocklist: blogspot, wordpress.com, wixsite, etc.
Domain Ranking
Domain scores come from the CC Web Graph cc-main-2026-mar-apr-may, top 5M domains by harmonic centrality.
Source
- Crawl: CC-MAIN-2026-21 (May 8–21, 2026)
- 100,000 WET files, 2.16 billion web pages total
- Processing: custom Python pipeline on vast.ai 4x NVIDIA B200
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