Datasets:
v1.1.0 - 30-min live update: +750 records (total 5,748); canonical data refreshed; snapshot + checksums added
206cb65 verified | pretty_name: EU-Retail-UX-Feedback-Live | |
| license: cc-by-4.0 | |
| language: | |
| - en | |
| - fr | |
| - de | |
| multilinguality: | |
| - multilingual | |
| size_categories: | |
| - n<10K | |
| task_categories: | |
| - text-classification | |
| tags: | |
| - ecommerce | |
| - retail | |
| - user-experience | |
| - customer-feedback | |
| - sentiment-analysis | |
| - text-classification | |
| - multilingual | |
| - ux | |
| - customer-service | |
| - product-reviews | |
| - tabular | |
| - text | |
| - timeseries | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/ux_feedback_live.parquet | |
| # EU-Retail-UX-Feedback-Live | |
| Real-time, **GDPR-anonymised** user-experience (UX) feedback collected from the | |
| e-commerce website, mobile app and customer-service platform of a large European | |
| retail company (1000+ employees) operating in **the United Kingdom, France and | |
| Germany**. The dataset is refreshed every **30 minutes**, and every published | |
| version is immutable, checksummed and taggable so it is fully **auditable and | |
| rollback-able**. | |
| ## Quick summary | |
| | Attribute | Value | | |
| |---|---| | |
| | Dataset name | `EU-Retail-UX-Feedback-Live` | | |
| | Refresh cadence | every 30 minutes | | |
| | Encoding | UTF-8 | | |
| | Markets | United Kingdom, France, Germany | | |
| | Languages | en-GB, fr-FR, de-DE | | |
| | Latest version | v1.2.0 | | |
| | Total records (latest) | 6,498 | | |
| | License | CC BY 4.0 | | |
| ## Why this dataset exists | |
| To continuously optimise the customer experience, the company collects feedback | |
| across the full shopping journey — page loading speed, search relevance, product | |
| recommendations, checkout flow, delivery experience and after-sales support. | |
| This dataset powers: | |
| - sentiment analysis / rating prediction models, | |
| - multilingual text-classification of experience dimensions, | |
| - root-cause analysis of UX pain points per market, | |
| - dashboards tracking CX health over time. | |
| ## Data fields / schema | |
| Each record contains the following fields: | |
| | Column | Type | Description | | |
| |---|---|---| | |
| | `feedback_id` | string | Unique record identifier (pseudonymous). | | |
| | `user_pseudo_id` | string | Pseudonymous user identifier (HMAC-SHA256, not reversible without salt). | | |
| | `session_id` | string | Pseudonymous browsing/session identifier. | | |
| | `market_region` | string | `United Kingdom`, `France` or `Germany`. | | |
| | `country_code` | string | ISO 3166-1 alpha-2 code: `GB`, `FR`, `DE`. | | |
| | `language` | string | BCP-47 language tag: `en-GB`, `fr-FR`, `de-DE`. | | |
| | `timestamp` | string | ISO 8601 UTC timestamp of the feedback event. | | |
| | `experience_dimension` | string | One of 6 dimensions (see below). | | |
| | `rating` | int | Score from 1 (very poor) to 5 (excellent). | | |
| | `feedback_text` | string | Free-text feedback, UTF-8 encoded, in the market language. | | |
| | `device_type` | string | `desktop`, `mobile` or `tablet`. | | |
| | `source_channel` | string | `website`, `mobile_app` or `customer_service`. | | |
| ### Experience dimensions | |
| `page_load_speed`, `search_relevance`, `product_recommendations`, | |
| `checkout_flow`, `delivery_experience`, `after_sales_support` | |
| ## Coverage | |
| - **Markets:** United Kingdom (GB), France (FR), Germany (DE) — balanced, 1/3 each. | |
| - **Languages:** en-GB, fr-FR, de-DE (feedback text matches the market language). | |
| - **Channels:** website, mobile app, customer service. | |
| - **Devices:** desktop, mobile, tablet. | |
| - **Time range:** rolling 24h window, refreshed every 30 minutes. | |
| ## GDPR compliance (pseudonymisation & minimisation) | |
| This dataset was built in line with the EU **General Data Protection Regulation | |
| (GDPR)** (Regulation (EU) 2016/679). The pipeline performs: | |
| 1. **Deletion of direct identifiers** — fields `user_email`, `user_name`, | |
| `phone_number` and `address` are dropped and never published. **No direct | |
| personal data is present in this dataset.** | |
| 2. **Pseudonymisation** — the real user identifier is replaced by a | |
| pseudonymous ID derived with `HMAC-SHA256` plus a secret salt | |
| (`user_pseudo_id`), and session identifiers are pseudonymised as well | |
| (`session_id`). The salt is stored separately and access-controlled, so the | |
| mapping cannot be reconstructed from the published data. | |
| 3. **Free-text scrubbing** — residual PII patterns (e-mail addresses, phone | |
| numbers, UK/FR/DE postcodes, card-like numbers) are redacted from the | |
| `feedback_text` field before upload. | |
| 4. **Data minimisation** — only the attributes required for UX analytics are | |
| published; no financial, biometric or sensitive data is collected. | |
| 5. **Purpose limitation & retention** — pseudonymised records are retained only | |
| for as long as needed for CX analysis; raw (identifiable) data is held in a | |
| restricted internal store with a short retention policy and is never uploaded | |
| to the Hub. | |
| Full documentation of the anonymisation measures is provided in | |
| [`gdpr/anonymisation_report.md`](gdpr/anonymisation_report.md) and the | |
| reproducible pipeline is in [`scripts/generate_ux_feedback.py`](scripts/generate_ux_feedback.py). | |
| > ⚠️ This dataset contains **synthetic** feedback used for demonstration and | |
| > model-development purposes. No real customer data is included. | |
| ## Versioning & auditability | |
| The dataset is updated every **30 minutes**. Version management follows | |
| semantic versioning and is designed to be **auditable and rollback-able**: | |
| - **Immutable snapshots** are stored under `snapshots/<version>/`. | |
| - Every version has a **SHA-256 checksum** (parquet and CSV) recorded in | |
| [`versions/manifest.json`](versions/manifest.json). | |
| - A human-readable history is maintained in | |
| [`versions/CHANGELOG.md`](versions/CHANGELOG.md). | |
| - Each published version corresponds to a **git commit/tag** on the Hub | |
| (`v1.0.0`, `v1.1.0`, `v1.2.0`, …), so any previous version can be restored | |
| with a single checkout (rollback). | |
| - The canonical, latest snapshot always lives at `data/ux_feedback_live.parquet`. | |
| | Version | Window (UTC) | Added | Total | SHA-256 (parquet) | | |
| |---|---|---|---|---| | |
| | v1.0.0 | 2026-08-12T13:47 → 2026-08-13T13:47 | 4,998 | 4,998 | `3882044c…e54` | | |
| | v1.1.0 | 2026-08-13T13:47 → 14:17 | 750 | 5,748 | `e0488237…ccb` | | |
| | v1.2.0 | 2026-08-13T14:17 → 14:47 | 750 | 6,498 | `1365bc41…875` | | |
| ## Usage | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("toolathon123/EU-Retail-UX-Feedback-Live", split="train") | |
| print(ds) | |
| ``` | |
| ```python | |
| import pandas as pd | |
| df = pd.read_parquet("hf://datasets/toolathon123/EU-Retail-UX-Feedback-Live/data/ux_feedback_live.parquet") | |
| ``` | |
| ## Limitations | |
| - Synthetic data: the free-text feedback is generated, not collected from real | |
| customers, and may not fully reflect real-world language variation. | |
| - The dataset is refreshed continuously; results should always be pinned to a | |
| specific version (e.g. `v1.2.0`) for reproducible experiments. | |
| - Ratings are not expert-verified; treat them as user-reported signals. | |