update sample data
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- README.md +41 -0
- data.csv +0 -0
- data.jsonl +3 -0
.gitattributes
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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data.jsonl filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: cc-by-sa-4.0
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task_categories: [tabular-classification, tabular-regression]
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tags: [ecommerce, shopify, gmv, market-research, datenix]
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size_categories: [10K<n<100K]
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---
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# Datenix Shop Intel — 10K sample
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**10K top e-commerce stores by verified GMV**, from Datenix's 2.06M master DB.
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## What's inside
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- `sample_10k.jsonl` / `sample_10k.csv` — top 10K shops by verified GMV 2025
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- 20 columns per row: domain, name, platform, country, GMV 2023-2026, product count/price (`pc_*`), SimilarWeb monthly visits (`monthly_visits`, `sw_*`), theme/niche, FB ads footprint (`fp_*`)
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## GMV sanity check
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Every row has a `gmv_sanity` label:
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- `verified` — GMV / (12 × sw_visits) within $10-500 per annual visit (typical e-com range)
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- `no_sw_data` — small shops without SimilarWeb coverage; trust the raw estimate
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- `unverified_no_sw` — GMV > $100M but no SimilarWeb data; discounted 0.3x for ranking
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- `suspicious_ratio_N` — GMV / visits ratio unrealistic (excluded from top ranking)
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- `excluded_subdomain` — technical subdomains (workshop./staging./cdn./etc.) excluded
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`gmv_verified` uses the sanity check; `gmv_2025` retains the raw estimate.
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## Full data
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- Full 2.06M store dataset (`stores.master.jsonl.gz`, 325 MB gzip): contact hi@datenix.xyz
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- REST API: https://api.datenix.xyz
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- Landing: https://datenix.xyz
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- Twitter: @datenix
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## Fields (SHOP_COLS)
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- `domain`, `name`, `platform`, `country`, `sources_count`
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- `gmv_2023`, `gmv_2024`, `gmv_2025`, `gmv_2026`, `gmv_ltm` — GMV estimates in USD (raw from eccompass)
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- `gmv_verified`, `gmv_sanity` — cross-validated GMV with sanity label
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- `pc_product_count`, `pc_avg_price` — product intel from CRX (Koala-grade)
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- `monthly_visits`, `sw_global_rank`, `sw_category` — traffic intel from CRX (SimilarWeb-grade)
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- `theme_name`, `niche` — Shopify theme + niche classification
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- `fp_ads_saved`, `fp_fb_likes`, `fp_fb_category` — FB Ad Library brand footprint (Foreplay-grade)
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## License
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CC BY-SA 4.0 — attribute datenix.xyz when redistributing.
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data.csv
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data.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:ae44d9c2e6d3bc158da1f9e04e26fb3a2d800c0879394eb8adf781cdbbffb36d
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size 13693373
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