[auto-pick-to-release-3.6]desc for dataset

app/config/locale/en-US.json

@@ -73,7 +73,16 @@
     "ngqlIntro": "NebulaGraph Query Language (nGQL)",
     "ngqlIntroTip": "nGQL is a declarative graph query language for NebulaGraph. It allows expressive and efficient graph patterns. ",
     "start": "Get Started",
-    "sketchIntro": "Schema drafting"
+    "sketchIntro": "Schema drafting",
+    "basketballplayerIntro": "A typical schema composed of two vertex types (player and team) and two edge types (serve and follow), widely referenced by documentation.",
+    "snsIntro": "Social Network Graph demo, new friend recommendation, feed generation, etc.",
+    "movieIntro": "Movie recommendation with CBF, ItemCF and UserCF in Graph.",
+    "datalineageIntro": "Metadata governance on NebulaGraph, data lineage query, data dependency analysis, etc.",
+    "idMappingIntro": "ID Mapping, Identity Resolution for a user system in Graph",
+    "fifa2022Intro": "2022 Football World Game knowledge graph, try predict the winner, assuming we don't know the result.",
+    "shareholdingIntro": "Shareholding graph, query the shareholding relationship of a company, and the relationship between the company and the shareholder.",
+    "openstackIntro": "A demo of AI Ops with Graph, taking OpenStack as an example, where all resources were included in one graph.",
+    "fraudDetectionIntro": "Fraud detection with Graph, taking loan application as an example"
   },
   "warning": {
     "connectError": "Connection refused, please configure server again",

app/config/locale/zh-CN.json

@@ -73,7 +73,16 @@
     "ngqlIntro": "NebulaGraph 查询语言 (nGQL)",
     "ngqlIntroTip": "nGQL 是 NebulaGraph 使用的的声明式图查询语言，是为开发和运维人员设计的类 SQL 查询语言，易于学习。",
     "start": "快速开始",
-    "sketchIntro": "Schema 草图"
+    "sketchIntro": "Schema 草图",
+    "basketballplayerIntro": "最简单的示例图谱空间，最广泛被文档中引用的数据集",
+    "snsIntro": "社交网络示例图谱空间，包含用户、好友、帖子、评论等数据，新好友推荐、时间线生成、社交分析",
+    "movieIntro": "电影推荐图谱，尝试在图上做 CBF、ItemCF 和 UserCF 算法",
+    "datalineageIntro": "元数据管理实例数据集，血缘查询、血缘依赖分析、大数据治理",
+    "idMappingIntro": "ID Mapping，用户系统上的实体分析案例",
+    "fifa2022Intro": "面向关系而非复杂属性的世界杯图谱，尝试利用图算法预测冠军吧（假设我们还不知道冠军）",
+    "shareholdingIntro": "股权关系图谱，图上实做股权穿透、公司实控人分析、背景调查",
+    "openstackIntro": "图驱动的复杂基础设施智能运维实操，基于 OpenStack 全资源抓取图谱的例子",
+    "fraudDetectionIntro": "欺诈检测的图应用，以借贷场景为例"
   },
   "warning": {
     "connectError": "数据库连接有误，请重新配置",

app/pages/Welcome/index.module.less

@@ -209,7 +209,7 @@
         box-shadow: 0 0 4px #ccc;
       }
       .withCoverContent {
-        height: 190px;
+        height: 240px;
         padding: 16px 30px 20px;
         display: flex;
         flex-direction: column;
@@ -221,18 +221,27 @@
           align-items: center;
         }
         .contentTitle {
-          flex: 1 1 auto;
           padding: 18px 0 6px;
           font-family: Roboto-Regular, sans-serif;
           font-style: normal;
           font-weight: 500;
           font-size: 20px;
           color: #000;
           overflow: hidden;
-          word-break: break-all;
-          display: -webkit-box;
-          -webkit-line-clamp: 2;
-          -webkit-box-orient: vertical;
+          white-space: nowrap;
+          text-overflow: ellipsis;
+        }
+        .contentDescription {
+          font-weight: 300;
+          font-size: 14px;
+          color: #4F4F4F;
+          flex: 1 1 auto;
+          .descInner {
+            overflow: hidden;
+            display: -webkit-box;
+            -webkit-line-clamp: 3;
+            -webkit-box-orient: vertical;
+          }
         }
         .infoWrapper {
           color: #4f4f4f;
@@ -246,7 +255,7 @@
         }
       }
       &.withCover {
-        height: 400px;
+        // height: 400px;
         padding: 0;
         display: block;
         .actionWrapper {

app/pages/Welcome/index.tsx

@@ -66,6 +66,7 @@ export type DatasetType = 'starter' | 'solution';
 export interface DatasetItem {
   type: DatasetType;
   tags?: string[];
+  description: string;
   spaceName: string;
   fileName: string;
   rename?: string;
@@ -110,6 +111,7 @@ const getDatasetList = (): DatasetItem[] => {
     {
       type: 'starter',
       tags: ['starter'],
+      description: intl.get('doc.basketballplayerIntro'),
       spaceName: 'demo_basketballplayer',
       fileName: 'basketballplayer',
       rename: undefined as unknown as string,
@@ -123,6 +125,7 @@ const getDatasetList = (): DatasetItem[] => {
     {
       type: 'solution',
       tags: ['solution'],
+      description: intl.get('doc.shareholdingIntro'),
       spaceName: 'demo_shareholding',
       fileName: 'shareholding',
       rename: undefined as unknown as string,
@@ -136,6 +139,7 @@ const getDatasetList = (): DatasetItem[] => {
     {
       type: 'starter',
       tags: ['starter'],
+      description: intl.get('doc.snsIntro'),
       spaceName: 'demo_sns',
       fileName: 'sns',
       rename: undefined as unknown as string,
@@ -149,6 +153,7 @@ const getDatasetList = (): DatasetItem[] => {
     {
       type: 'solution',
       tags: ['solution'],
+      description: intl.get('doc.openstackIntro'),
       spaceName: 'demo_ai_ops',
       fileName: 'openstack',
       rename: undefined as unknown as string,
@@ -162,6 +167,7 @@ const getDatasetList = (): DatasetItem[] => {
     {
       type: 'starter',
       tags: ['starter'],
+      description: intl.get('doc.datalineageIntro'),
       spaceName: 'demo_data_lineage',
       fileName: 'datalineage',
       rename: undefined as unknown as string,
@@ -175,6 +181,7 @@ const getDatasetList = (): DatasetItem[] => {
     {
       type: 'starter',
       tags: ['starter'],
+      description: intl.get('doc.movieIntro'),
       spaceName: 'demo_movie_recommendation',
       fileName: 'movie',
       rename: undefined as unknown as string,
@@ -188,6 +195,7 @@ const getDatasetList = (): DatasetItem[] => {
     {
       type: 'starter',
       tags: ['starter'],
+      description: intl.get('doc.idMappingIntro'),
       spaceName: 'demo_identity_resolution',
       fileName: 'id_mapping',
       rename: undefined as unknown as string,
@@ -201,6 +209,7 @@ const getDatasetList = (): DatasetItem[] => {
     {
       type: 'solution',
       tags: ['solution'],
+      description: intl.get('doc.fraudDetectionIntro'),
       spaceName: 'demo_fraud_detection',
       fileName: 'fraud_detection',
       rename: undefined as unknown as string,
@@ -214,7 +223,8 @@ const getDatasetList = (): DatasetItem[] => {
     {
       type: 'starter',
       tags: ['starter'],
-      spaceName: 'demo_fifa_2022',
+      description: intl.get('doc.fifa2022Intro'),
+      spaceName: 'demo_football_2022',
       fileName: 'fifa2022',
       rename: undefined as unknown as string,
       detail: {
@@ -351,6 +361,9 @@ function Welcome(props: IProps) {
                   </div>
                 </div>
                 <div className={styles.contentTitle}>{dataset.spaceName}</div>
+                <div className={styles.contentDescription}>
+                  <span className={styles.descInner}>{dataset.description}</span>
+                </div>
                 <div className={styles.contentFooter}>
                   <div className={styles.actionWrapper}>
                     <Button

public/datasets/fifa2022.ngql

@@ -1,6 +1,6 @@
-CREATE SPACE IF NOT EXISTS `demo_fifa_2022` (partition_num = 3, replica_factor = 1, charset = utf8, collate = utf8_bin, vid_type = FIXED_STRING(32)) comment="https://www.siwei.io/chatgpt-and-nebulagraph-predict-fifa-world-cup/";
+CREATE SPACE IF NOT EXISTS `demo_football_2022` (partition_num = 3, replica_factor = 1, charset = utf8, collate = utf8_bin, vid_type = FIXED_STRING(32)) comment="https://www.siwei.io/chatgpt-and-nebulagraph-predict-fifa-world-cup/";
 :sleep 10;
-USE `demo_fifa_2022`;
+USE `demo_football_2022`;
 CREATE TAG IF NOT EXISTS `Group` ( `name` string NOT NULL) ttl_duration = 0, ttl_col = "";
 CREATE TAG IF NOT EXISTS `club` ( `name` string NOT NULL) ttl_duration = 0, ttl_col = "";
 CREATE TAG IF NOT EXISTS `player` ( `name` string NOT NULL, `number` int64 NOT NULL, `position` string NOT NULL, `DOB` string NOT NULL, `caps` int64 NOT NULL, `goals` int64 NOT NULL, `age` int64 NOT NULL) ttl_duration = 0, ttl_col = "";