Translate dataset card to English

README.md

@@ -1,6 +1,7 @@
 ---
-pretty_name: 蜂鸟视图室内语义化地图测试数据集
+pretty_name: Fengmap Indoor Semantic Map Sample Dataset
 language:
+  - en
   - zh
 license: other
 license_name: fengmap-non-commercial-dataset-terms-v1.0
@@ -26,48 +27,44 @@ configs:
         path: data/maps.parquet
 ---
 
-# 蜂鸟视图室内语义化地图测试数据集
+# Fengmap Indoor Semantic Map Sample Dataset
 
-> 数据集版本：v1.0  
-> 语义格式规范版本：v0.2  
-> 发布日期：2026 年 8 月 14 日  
-> 数据规模：5 张室内地图、37 个楼层  
-> 使用范围：仅限非商业性质的学习、研究、教学和技术验证
+> Dataset version: v1.0  
+> Semantic format specification version: v0.2  
+> Release date: August 14, 2026  
+> Dataset size: 5 indoor maps across 37 floors  
+> Permitted use: Non-commercial learning, research, education, and technical validation only
 
-## 数据集简介
+## Dataset Overview
 
-蜂鸟视图室内语义化地图测试数据集是一套面向室内空间理解、空间关系分析、地图 SDK 集成和导航应用验证的公开测试数据集。
+The Fengmap Indoor Semantic Map Sample Dataset is a public test dataset designed for indoor spatial understanding, spatial relationship analysis, map SDK integration, and navigation application validation.
 
-我们希望为室内地图语义化提供一份可以实际解析、运行和验证的公共样例，让相关讨论不只停留在概念层面。开发者可以基于真实室内空间数据，验证空间实体、关系、导航拓扑，以及地图与 AI、机器人等应用结合的可行性。
+Our goal is to provide a practical public sample that can be parsed, run, and validated, so discussions around indoor map semantics can extend beyond theory. Developers can use real-world indoor spatial data to validate spatial entities, relationships, navigation topology, and the feasibility of combining indoor maps with AI, robotics, and related applications.
 
-本数据集由蜂鸟视图基于自主采集的室内地图数据进行整理、加工和语义化生产。公开材料使用地图 ID 区分测试场景，不公布具体商场名称。
+This dataset was collected independently by Fengmap and subsequently organized, processed, and semantically annotated. Public materials identify test environments by map ID; the names of the shopping malls are not disclosed.
 
-## English Abstract
+## Published Contents
 
-The Fengmap Indoor Semantic Map Sample Dataset v1.0 provides five real-world indoor commercial maps covering 37 floors. It is intended for non-commercial research, education, format validation, indoor spatial reasoning, navigation experiments, and prototyping at the intersection of indoor maps, AI, robotics, and spatial intelligence. The formal archive follows the Fengmap semantic output specification v0.2. Public materials identify the test scenes by map ID rather than shopping mall name.
+This Hugging Face Dataset repository provides:
 
-## 发布内容
+- Floor map screenshots for 5 maps across 37 floors;
+- Parquet views containing map summaries and floor screenshots for the Dataset Viewer;
+- The official v1.0 ZIP archive, identical to the GitHub Release asset;
+- The Semantic Output Specification v0.2 document;
+- Custom non-commercial terms and file checksums.
 
-本 Hugging Face Dataset 仓库提供：
+The official ZIP archive contains standard semantic data and floor screenshots for all five maps. The semantic data covers entities, relationships, navigation nodes, and navigation edges.
 
-- 5 张地图、37 个楼层的地图截图；
-- 用于 Dataset Viewer 的地图汇总和楼层截图 Parquet 视图；
-- 与 GitHub Release 一致的 v1.0 正式 ZIP；
-- 标准语义输出 v0.2 文档；
-- 自定义非商业使用条款及文件校验值。
-
-正式 ZIP 中包含 5 张地图的标准语义数据及楼层截图。语义数据包括实体、关系、导航节点和导航边。
-
-| 地图 ID | 楼层数 | 实体数 | 关系数 | 导航节点数 | 导航边数 | 语义数据文件大小 |
+| Map ID | Floors | Entities | Relationships | Navigation Nodes | Navigation Edges | Semantic Data Size |
 | --- | ---: | ---: | ---: | ---: | ---: | ---: |
 | `123456` | 10 | 4,222 | 5,130 | 2,307 | 5,568 | 5.84 MiB |
 | `272862` | 6 | 3,876 | 4,251 | 1,243 | 2,792 | 4.60 MiB |
 | `709246` | 7 | 3,190 | 4,162 | 1,730 | 4,367 | 5.06 MiB |
 | `910807` | 7 | 6,700 | 7,730 | 3,058 | 6,951 | 8.33 MiB |
 | `911907` | 7 | 2,648 | 3,047 | 1,437 | 3,426 | 3.48 MiB |
-| **合计** | **37** | **20,636** | **24,320** | **9,775** | **23,104** | **27.32 MiB** |
+| **Total** | **37** | **20,636** | **24,320** | **9,775** | **23,104** | **27.32 MiB** |
 
-## 仓库结构
+## Repository Structure
 
 ```text
 .
@@ -80,16 +77,16 @@ The Fengmap Indoor Semantic Map Sample Dataset v1.0 provides five real-world ind
 │   └── floor-images/
 │       └── {mapId}/{floorName}.png
 ├── docs/
-│   └── 标准语义输出-v0.2.md
+│   └── semantic specification document
 └── release/
     └── fengmap-semantic-sample-dataset-v1.0.zip
 ```
 
-`maps.parquet` 提供 5 张地图的规模汇总。`floors.parquet` 提供 37 个楼层记录，并内嵌对应截图以支持 Dataset Viewer。Parquet 文件是便于浏览和分析的派生视图，正式交付内容以 `release/` 下的 ZIP 为准。
+`maps.parquet` contains summary statistics for the five maps. `floors.parquet` contains 37 floor records with embedded screenshots for the Dataset Viewer. The Parquet files are derived views intended for convenient browsing and analysis. The ZIP archive under `release/` is the authoritative distribution package.
 
-## 使用方式
+## Usage
 
-使用 Hugging Face Datasets 查看楼层截图：
+Load and browse the floor screenshots with Hugging Face Datasets:
 
 ```python
 from datasets import load_dataset
@@ -107,7 +104,7 @@ maps = load_dataset(
 )
 ```
 
-下载正式 ZIP：
+Download the official ZIP archive:
 
 ```bash
 hf download fengmap-official/indoor-semantic-sample \
@@ -116,31 +113,31 @@ hf download fengmap-official/indoor-semantic-sample \
   --local-dir .
 ```
 
-ZIP 的 SHA-256：
+ZIP SHA-256:
 
 ```text
 17208aa684dd357b5dfe4e8717a08d27d6df3a4fbbb65a025cbcb6f9dde0cd2c
 ```
 
-主要发布文件的校验值请参阅 [`checksums.sha256`](./checksums.sha256)。
+See [`checksums.sha256`](./checksums.sha256) for checksums of the primary release files.
 
-## 文档与 Demo
+## Documentation and Demos
 
-- [标准语义输出 v0.2](./docs/标准语义输出-v0.2.md)
-- [GitHub 项目主页](https://github.com/fengmap/semantic-sample-dataset)
+- [Semantic Output Specification v0.2](./docs/%E6%A0%87%E5%87%86%E8%AF%AD%E4%B9%89%E8%BE%93%E5%87%BA-v0.2.md)
+- [GitHub repository](https://github.com/fengmap/semantic-sample-dataset)
 - [JS SDK Demo](https://github.com/fengmap/semantic-sample-dataset/tree/main/js-sdk-demo)
-- [Java 语义地图 Demo](https://github.com/fengmap/semantic-sample-dataset/tree/main/java-semantic-map-demo)
+- [Java Semantic Map Demo](https://github.com/fengmap/semantic-sample-dataset/tree/main/java-semantic-map-demo)
 - [GitHub v1.0 Release](https://github.com/fengmap/semantic-sample-dataset/releases/tag/v1.0)
 
-## 使用范围与限制
+## Permitted Use and Restrictions
 
-本测试数据集仅限非商业性质的学习、研究、教学、公益活动和技术验证使用。完整许可条件以 [`LICENSE`](./LICENSE) 为准。
+This test dataset may be used only for non-commercial learning, research, education, public-interest activities, and technical validation. See [`LICENSE`](./LICENSE) for the complete terms.
 
-本数据集不是生产地图服务，不应作为商场实时运营信息、消防疏散依据、应急指挥依据或其他安全关键系统的唯一数据来源。室内空间、楼层布局、店铺名称、设施状态和通行条件可能随时间发生变化。
+This dataset is not a production map service and must not be used as the sole source of information for live shopping mall operations, fire evacuation, emergency response, or any other safety-critical system. Indoor spaces, floor layouts, store names, facility status, and access conditions may change over time.
 
-未经许可，使用者不得利用本数据集中的布局、名称、品牌组合或其他信息识别、公开或传播未披露的具体商场身份，也不得将第三方品牌标识用于宣传、背书或其他与本测试目的无关的用途。
+Without authorization, users must not use layouts, names, brand combinations, or other information in this dataset to identify, disclose, or distribute the identity of any undisclosed shopping mall. Third-party brand identifiers must not be used for advertising, endorsement, or any purpose unrelated to this test dataset.
 
-## 引用
+## Citation
 
 ```bibtex
 @dataset{fengmap_indoor_semantic_sample_2026,
@@ -153,7 +150,7 @@ ZIP 的 SHA-256：
 }
 ```
 
-## 联系方式
+## Contact
 
-- 邮箱：[marcom@fengmap.com](mailto:marcom@fengmap.com)
-- 电话：[400-680-0432](tel:4006800432)
+- Email: [marcom@fengmap.com](mailto:marcom@fengmap.com)
+- Phone: [400-680-0432](tel:4006800432)