Moon Banking

Name: Moon Banking
Creator: Moon Banking
Published: 2026-05-29T01:56:56+08:00

Snowflake2026-06-01 更新2026-06-02 收录

情感分析

银行服务评估

数据链接：

https://app.snowflake.com/marketplace/listing/GZU6Z9393R7 数据链接链接失效反馈

官方服务：

资源简介：

# Moon Banking on Snowflake Moon Banking is a crowdsourced sentiment dataset for retail and business banking. Every bank in every country is scored across **14 dimensions** by a continuous flow of community votes: customer service, fees & pricing, digital experience, security & trust, branch & ATM access, international banking, business banking, processing speed, transparency, innovation, investment services, lending, account features, and crypto-friendliness. This listing offers two access tiers, gated automatically by SYSTEM$IS_LISTING_PURCHASED() inside the secure views the share exposes: - Limited Trial — free. Top 20 US banks by community vote count, plus the rows in bank_votes and stories tied to those banks, plus the United States countries row, plus the global world aggregate. Refreshed daily. - Paid — $1,499 USD / month. Same five tables, no row filter. Every bank in every country, all votes, all stories. Refreshed daily. Both tiers attach the same Snowflake share. Switching from trial to paid is instant — no re-attach, no DDL, no consumer-side code changes. The secure views just start returning more rows. ## What's in this listing Five tables, each exposed as a Snowflake secure view in the moonbanking.shared schema. Row counts shown as **trial → paid**. - **world** — *1 row → 1 row.* Singleton row of global aggregates: country count, bank count, story count, and 14-category vote totals / scores. - **countries** — *1 row (US) → ~200 rows.* One row per country: name, ISO code, flag, world rank, and 14-category aggregate scores. - **banks** — *20 rows → ~24,000 rows.* One row per bank in each country. Includes URL, description, world + country rank, story count, and 14-category aggregate scores. - **bank_votes** — *hundreds, growing → thousands, growing.* Individual upvote / downvote events. PII (IP addresses, user IDs) is intentionally excluded. - **stories** — *~200, growing → ~700, growing.* User-submitted short reviews about a bank, with sentiment + tags. PII excluded. ## What's NOT in this listing We deliberately exclude every form of PII from this dataset: - No user identities, names, emails, or accounts - No IP addresses on votes or stories - No internal API keys, fingerprints, or tracking signals - No moderation flags or admin-only fields ## Engineering features - Format: Native Snowflake share. Standard Snowflake-to-Snowflake — no extra client setup required. - Schema: Stable, additive-only. We commit to 30-day advance notice on any new column. We will never rename, drop, or change the type of an existing column. - Time Travel: Available at the consumer side — clone the share to your own database and set DATA_RETENTION_TIME_IN_DAYS = N on the cloned tables for point-in-time queries / rollback. - Refresh cadence: Daily at ~05:00 UTC. - Aggregate columns: The 14 score dimensions are Snowflake VARIANT columns. Access subfields via colon syntax (overall:score::FLOAT) — the same shape Databricks consumers see as STRUCTs. **Pricing** - Limited Trial: Free. Provisioned automatically when you click Get Data on this listing. No credit card required, no cancellation step needed — the trial slice is just smaller. - Paid: $1,499 USD / month. Billed by Snowflake on your existing Snowflake invoice. Switching from trial to paid is a one-click upgrade in the Marketplace UI; the share doesn't change, the secure views just open up. Cancel any time; access remains through the end of the current billing period. There are no refunds — see the refund policy linked on the listing. ## How to subscribe - Click Get Data on this listing. - Snowflake provisions the share into your account (default database name: MOONBANKING). You're seeing the trial slice. - To upgrade to the paid tier, click Upgrade on the listing detail page. Snowflake charges your Snowflake invoice; the secure views detect the purchase via SYSTEM$IS_LISTING_PURCHASED() and immediately return the full dataset. ## License Use of this data is governed by the Moon Banking Marketplace Data License — see the URL on the listing. Highlights: - You may use the data for analytics, AI/ML model training (including generative AI, large language models, agents, and other foundation models), fine-tuning, evaluation, research, dashboards, and product features. Models you train on the data are yours to ship. - You may not redistribute the raw dataset, expose it through a public API, or build a product that is substantially similar in purpose to the Moon Banking platform. - See the license for full terms. ## Support Email support@e.moonbanking.com for billing, access, schema, or data-quality questions.

提供机构：

Moon Banking

创建时间：

2026-05-29

原始信息汇总

数据集名称

Moon Banking

数据集简介

Moon Banking 是一个针对零售和企业银行的众包情绪数据集，涵盖了每个国家的每家银行。通过社区持续投票，从14个维度对银行进行评分。

核心内容

评分维度：客户服务、费用与定价、数字体验、安全与信任、分行与ATM访问、国际银行、企业银行、处理速度、透明度、创新、投资服务、贷款、账户功能、加密货币友好性。
数据内容：包含5张表，以Snowflake安全视图的形式提供于 moonbanking.shared 模式下：
- world: 全球聚合数据（国家数、银行数、故事数、14类投票总数/评分）。
- countries: 每个国家一行（名称、ISO代码、旗帜、世界排名、14类聚合评分）。
- banks: 每个国家每家银行一行（URL、描述、世界及国家排名、故事数、14类聚合评分）。
- bank_votes: 个人的支持/反对投票事件（不包含PII）。
- stories: 用户提交的简短银行评论（附带情绪和标签，不包含PII）。