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  "source_url": "https://www.kaggle.com/competitions/classification-of-goods/data",
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      "content": "\n## 1. 数据集概览（Dataset Overview）\n\n本数据集用于「商品分类」任务。场景背景为：在电商或零售平台中，平台需要对大量商品进行合理的类别标注，以支撑检索、推荐和类目导航等核心功能。\n\n在本题中，每个样本对应一件商品，提供的核心信息包括：\n\n- 商品的图像信息（通过图像 id 与对应图片文件关联）；\n- 简短的文本信息（例如商品标题或简要描述）；\n- 商品所属的类别标签（在训练集中可用）。\n\n数据规模如下：\n\n- 训练集（`train.csv`）：33,633 条带标签的商品数据；\n- 测试集（`test.csv`）：8,367 条无标签商品数据；\n- 类别总数：21 个商品类别，已离散化编码为 0–20。\n\n参赛者需要利用训练集构建模型，并在测试集上预测每个商品的类别。\n\n\n\n## 2. 文件结构（Files）\n\n根据题目说明，本竞赛提供以下主要文件与目录：\n\n- `train.csv`：训练集  \n- `train_images/`：训练集图像目录  \n- `test.csv`：测试集  \n- `test_images/`：测试集图像目录  \n- `sample_submission.csv`（或提交示例 `submission.csv`）：提交文件示例  \n\n下面分别说明其大致内容与用法。\n\n### 2.1 训练集：`train.csv`\n\n`train.csv` 为带表头的 CSV 文件，每行对应一个带标签的商品样本。根据 PPT 中的描述，它至少包含以下信息：\n\n#### （1）商品/图像标识字段\n\n- 类型：字符串或整数  \n- 用途：唯一标识一件商品，同时用于与图像文件名建立关联。  \n- 通常与 `train_images/` 中的图片文件名一致（例如某一行的 `id` 对应 `train_images/<id>.jpg` 或类似命名）。\n\n#### （2）商品图像信息 / 元数据字段\n\n- 类型：字符串或其他简单类型  \n- 含义：用于描述图像或商品的辅助信息，例如图像路径、品类上游信息等。  \n- 具体字段名称与含义可在 Kaggle「Data」页面中进一步说明。\n\n#### （3）简短文本描述（如有）\n\n- 类型：字符串  \n- 含义：商品的标题（`title`）或简要描述（`description`），可用于文本建模或多模态融合。  \n- 实际字段名（例如 `title`、`description` 等）以实际数据为准。\n\n#### （4）类别标签字段\n\n- 列名示例：`categories`（具体以实际文件为准）；  \n- 类型：整数；  \n- 含义：商品所属类别标签，已事先编码为从 0 到 20 的 21 个离散值之一。\n\n\n\n\n### 2.2 训练图像目录：`train_images/`\n\n- 该目录包含训练集中所有商品对应的图像文件；  \n- 每个图像文件的文件名与 `train.csv` 中的某个标识字段一一对应（例如商品 id 或 image id）；  \n- 图像格式可能为 jpg、png 等常见格式，具体可由参赛者自行在本地查看；  \n- 多数情况下，每个商品对应一张图像；如有多个视角图像，也会通过命名规则或额外字段加以区分。\n\n参赛者需自行根据文件名和 `train.csv` 中的标识字段，将图像与结构化数据对齐。\n\n\n### 2.3 测试集：`test.csv`\n\n`test.csv` 的结构与 `train.csv` 类似，但 **不包含类别标签列**。\n\n典型字段包括：\n\n- 商品/图像标识字段（用于与 `test_images/` 中图像文件对应）；  \n- 商品图像相关信息 / 元数据；  \n- 简短文本描述（如标题或说明）。\n\n参赛者需要对 `test.csv` 中的每一行样本预测其商品类别，并在提交文件中给出预测结果。\n\n\n\n### 2.4 测试图像目录：`test_images/`\n\n- 该目录包含测试集中所有商品对应的图像文件；  \n- 文件命名方式与 `train_images/` 保持一致，同样通过某个标识字段与 `test.csv` 中的数据对应；  \n- 用法与 `train_images/` 类似，只是无对应的标签。\n\n\n\n### 2.5 示例提交文件：`sample_submission.csv`\n\n为了说明提交格式，数据集中提供了一个示例提交文件，结构类似：\n\n```csv\nid,categories\nB00004TZR1,0\n...\n```\n\n字段含义为：\n\n- `id`：测试集中商品的唯一标识，应与 `test.csv` 中的 `id` 完全对应；  \n- `categories`：模型预测的商品类别标签，为整数 0–20 中的一个值。\n\n参赛者需要在最终提交文件中覆盖所有测试样本，确保每个 `id` 都有一条对应预测。\n\n\n\n## 3. 字段说明与使用提示（Field Semantics & Usage Notes）\n\n以下内容只对字段进行功能性说明，不涉及具体统计分布、样本数量细分等分析。\n\n### 3.1 标识字段（`id` / `image_id` 等）\n\n- 用于建立 `train.csv` / `test.csv` 与 `train_images/` / `test_images/` 之间的映射；  \n- 在读取数据时，通常将其作为索引或主键使用，不直接作为模型特征。\n\n\n\n### 3.2 文本字段（如 `title` / `description`）\n\n为商品内容提供语义信息，可用于：\n\n- 传统文本特征（词袋、TF-IDF 等）；  \n- 预训练文本模型 embedding（如 BERT 类模型）。\n\n可能包含大小写、标点、数字等，需要参赛者自行决定是否进行清洗和规范化。\n\n\n\n### 3.3 类别标签字段（`categories`）\n\n- 为训练监督信号，值域为 0–20 的整数，对应 21 个商品类别；  \n- 本题是 **单标签多分类任务**，每个样本仅属于一个类别；  \n- 类别含义（比如 0 对应哪一类商品）可以在课程文档或额外说明中给出，也可以仅作为编号使用。\n\n\n\n### 3.4 图像文件（`train_images/` & `test_images/`）\n\n- 可直接用于图像分类模型（如 CNN、ResNet、ViT 等）的输入；  \n- 参赛者可自行进行大小调整、归一化、数据增强等预处理；  \n- 图像与文本的联合建模可采用多模态网络或特征级融合等方式。\n",
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      "content": "\n## 任务定义\n\n对每一件商品，提供如下信息：\n\n- 一张或多张商品图片（以图像文件形式给出）；\n- 一段简短的文本信息（如商品标题、简要描述等）；\n\n目标是预测该商品的类别标签，类别已事先离散化并以整数形式表示。\n\n从建模角度看，本题是一个典型的 **多分类问题**，参赛者可以：\n\n- 仅使用图像；\n- 仅使用文本；\n- 或将图像与文本进行特征融合。\n\n---\n\n## 数据文件（示意说明）\n\n实际的字段命名和具体内容请以 Kaggle「Data」页面为准，这里给出一个典型结构示意，便于理解。\n\n### 1. `train.csv`（训练集）\n\n每行对应一个带标签的商品样本，可能包含如下列：\n\n- `id`：商品唯一标识，可与图像文件名对应；\n- `title` / `description`：商品标题或简要文本描述（可选字段，视数据集而定）；\n- `categories`：商品类别标签，取值为 0–20 的整数。\n\n### 2. `train_images/`（训练图像目录）\n\n- 包含训练集中所有商品图片文件；\n- 文件名通常与 `train.csv` 中的 `id` 字段对应（例如 `id.jpg` 或 `id.png`）。\n\n### 3. `test.csv`（测试集）\n\n- 结构与 `train.csv` 类似，但 **不包含** `categories` 标签列；\n- 参赛者需对其中每一行样本给出类别预测。\n\n### 4. `test_images/`（测试图像目录）\n\n- 存放测试集对应的商品图片文件；\n- 命名方式与训练集保持一致。\n\n### 5. `sample_submission.csv`（示例提交文件）\n\n说明提交文件的格式，例如：\n\n```csv\nid,categories\nB00004TZR1,0\n```\n\n其中：\n\n- `id`：与 `test.csv` 中的商品 id 一一对应；\n- `categories`：模型预测的类别标签（整数 0–20）。\n\n\n\n> **注**：本页面不对类别分布、图片尺寸、文本长度等进行统计分析，相关数据探索留给参赛者自行完成。\n",
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      "content": "\n## 评测指标：分类准确率（Accuracy）\n\n本竞赛采用 分类准确率（Accuracy） 作为唯一官方评测指标。\n\n\n\nKaggle 将基于隐藏的测试集标签自动计算每次提交的 Accuracy，并据此生成排行榜。\n",
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      "content": "\n# 一、任务说明\n\n本竞赛围绕电商场景下的商品多类别分类展开。在典型电商或零售业务中，平台需要处理数百万件商品，合理的商品类别标注有助于实现高质量的搜索与推荐。本题要求参赛者构建一个机器学习模型，综合利用商品的图像信息和简短文本描述，预测其所属类别。\n\n\n标签为 21 个商品类别，已被整数编码为 0–20。\n\n---\n\n# 二、参赛资格\n\n本竞赛为《2025 研究生机器学习》课程大作业的一部分，仅面向本课程已选课学生及教学团队指定的参与者，不对外公开。\n\n- 每位同学仅允许使用 **一个 Kaggle 账号** 参赛，不得代他人提交或使用多个账号刷榜。\n\n---\n\n# 三、数据集与使用规范\n\n## 3.1 数据文件\n\n根据 PPT 中的说明，本题提供以下文件与资源：\n\n### 1. `train.csv`：训练集\n\n- 包含每个商品的图像信息（如图像 id）及类别标签；\n- 商品类别共 21 类，已编码为整数 0–20。\n\n### 2. `train_images/`：训练集图像文件夹\n\n- 存放训练集中所有商品图片；\n- 每张图片的文件名即为对应商品的图像 id（可与 `train.csv` 中的字段匹配）。\n\n### 3. `test.csv`：测试集\n\n- 包含测试集中每个商品的图像信息及简要文本描述，不含类别标签；\n- 测试集类别分布与训练集保持一致（覆盖同样的 21 类）。\n\n### 4. `test_images/`：测试集图像文件夹\n\n- 存放测试集中所有商品图片，文件名同样为图像 id。\n\n### 5. `sample_submission.csv` / `submission.csv`：示例提交文件\n\n至少包含两列：\n\n```csv\nid,categories\nB00004TZR1,0\n```\n\n其中：\n\n- `id`：商品的唯一标识（例如图像 id）；\n- `categories`：模型预测的商品类别，取值须为整数 0–20 之一。\n\n## 3.2 外部数据与预训练模型使用\n\n- 允许使用公开的、与本题数据无直接标签泄露关系的外部资源（如 ImageNet 预训练视觉模型、通用预训练文本模型等），以提升特征表达能力。\n- 严禁使用含有本题相同图像及其真实类别标签的外部数据集进行“查表式”训练或匹配。\n- 不允许通过人工标注的方式为测试集补充标签或构造“伪标签”后再参与评测。\n- 如使用外部数据或预训练模型，需在课程的实验报告中详细说明其来源、处理方式及对模型的影响。\n\n---\n\n# 四、提交格式与次数\n\n提交文件须命名为 `submission.csv`，并满足以下要求：\n\n- 必须包含 `id` 列，与 `test.csv` 中的商品 id 一一对应；\n- 必须包含 `categories` 列，为预测的类别标签；\n- `categories` 的取值必须是整数编码 0–20 中的一个值。\n\n每日提交次数上限以及总提交次数限制，以 Kaggle 竞赛页面设置为准；超过限制的提交将不会被计入排行榜。\n\n请务必在课程规定的最终截止时间前完成提交。截止时间之后的新提交将不计入课程成绩（具体时间以教学团队公告为准）。\n\n---\n\n# 五、评测与排行榜\n\n## 5.1 官方评测指标：分类准确率（Accuracy）\n\n本竞赛采用 **分类准确率（Accuracy）** 作为唯一官方评测指标。\n\n设测试集中共有 \\(N\\) 个商品样本，第 \\(i\\) 个样本的真实类别为 \\(y_i\\)，参赛者提交的预测类别为 \\(\\hat{y}_i\\)，则准确率定义为：\n\n\\[\n\\text{Accuracy} = \\frac{1}{N} \\sum_{i=1}^{N} \\mathbf{1}(\\hat{y}_i = y_i)\n\\]\n\n其中 \\(\\mathbf{1}(\\cdot)\\) 为指示函数，当预测与真实类别一致时取值为 1，否则为 0。\n\n直观上，Accuracy 越高，说明分类正确的样本比例越大，模型性能越好。\n\n## 5.2 排行榜说明\n\n- Kaggle 会基于隐藏测试集标签计算每次提交的 Accuracy，并据此生成排行榜。\n- 课程成绩与排行榜之间的具体映射关系（如占比、折算方式等），以教学团队后续公布为准。\n\n---\n\n# 六、团队与合作规则\n\n本竞赛默认团队参赛，每个团队仅允许一个账号参加竞赛：\n\n- 禁止不同团队之间共享完整代码、模型权重或提交文件。\n- 鼓励同学之间进行高层次的学术交流，例如：\n  - 讨论特征工程思路（如如何融合图像与文本特征）；\n  - 讨论模型选择、验证策略、调参方法等。\n\n严禁以下行为：\n\n- 直接复制他人训练脚本、完整 Notebook 或提交文件；\n- 代为训练模型、代为生成结果、代为在 Kaggle 上提交；\n- 未经明确允许，将不同同学/团队的预测结果简单融合后作为单独参赛结果提交。\n\n如发现不同提交之间代码或结果存在异常高度相似，经核实属于抄袭或不当合作，将按学术诚信规定严肃处理。\n\n---\n\n# 七、代码与复现要求\n\n参赛者需妥善保存完整的实验代码、环境配置说明（如依赖库版本）、关键超参数设置及训练脚本。\n\n对于用来生成最终成绩的模型，应在课程要求的实验报告中说明：\n\n- 输入特征设计（是否使用图像、文本及其融合方式）；\n- 模型结构（如 CNN、ResNet、ViT、文本编码器、融合模块等）；\n- 执行流程（损失函数、优化器、学习率、训练轮数、数据增强策略等）；\n- 外部数据或预训练模型的使用情况（如有）。\n\n教学团队有权对部分参赛者进行抽查，要求在指定环境中复现接近的成绩；若无法复现或差异异常，主办方可对相关成绩进行调整或作废。\n\n---\n\n# 八、学术诚信与违规处理\n\n所有参赛者必须严格遵守学校及学院的学术诚信相关规定。\n\n严禁的违规行为包括但不限于：\n\n- 抄袭他人代码、提交文件或实验结果；\n- 使用多个账号刷榜、代他人提交或委托他人参赛；\n- 非法获取、猜测或利用测试集真实标签；\n- 捏造数据、篡改评测流程或任何试图操纵排行榜的行为。\n\n一经发现严重违规行为，主办方有权：\n\n- 取消违规学生/团队在本竞赛中的全部成绩；\n- 将情况上报学院，按学校相关规定予以处理。\n\n---\n\n# 九、其他\n\n本规则未尽事宜，由课程教学团队与竞赛主办方负责解释与补充。\n\n如竞赛期间规则有修订或补充，以课程平台和 Kaggle 竞赛页面上的最新公告为准。\n",
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    {
      "name": "abstract",
      "content": "在真实电商场景中，平台需要对海量商品进行精准的类别标注，以支撑搜索排序、推荐系统、类目导航等核心业务。如何根据有限的商品信息（如图片、标题或简短描述）自动完成商品分类，是一个具有重要实践价值的机器学习问题。\n\n本竞赛以**商品多类别分类**为任务：参赛者需要基于给定的商品图片以及相应的文本信息（如标题或简短描述），预测商品所属的类别标签。标签已被编码为** 0–20 共 21 个类别**，参赛者的目标是在测试集上获得尽可能高的分类准确率。\n\n数据集包含约**3 万余条带标签的训练样本和数千条无标签**的测试样本，覆盖多个常见商品品类，适合作为图像分类、文本分类以及多模态表示学习的综合实战任务。",
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      "name": "foundational-rules",
      "content": "The following Kaggle Competition Foundational Rules (“ Foundational Rules ”) apply to every competition regardless of whether the Sponsor creates competition-specific rules. Any competition-specific rules provided by the Sponsor are in addition to these rules, and in the case of any conflict or inconsistency, these Foundational Rules control and nullify contrary competition-specific rules.\n###GENERAL COMPETITION RULES - BINDING AGREEMENT\n####1. ELIGIBILITY\na. To be eligible to enter the Competition, you must be:</h5>\n1. a registered account holder at Kaggle.com; </h6>\n2. the older of 18 years old or the age of majority in your jurisdiction of residence (unless otherwise agreed to by Competition Sponsor and appropriate parental/guardian consents have been obtained by Competition Sponsor); </h6>\n3. not a resident of Crimea, so-called Donetsk People's Republic (DNR) or Luhansk People's Republic (LNR), Cuba, Iran, Syria, or North Korea; and</h6>\n4. not a person or representative of an entity under U.S. export controls or sanctions (see: [https://www.treasury.gov/resourcecenter/sanctions/Programs/Pages/Programs.aspx][1]).</h6>\n\nb. Competitions are open to residents of the United States and worldwide, except that if you are a resident of Crimea, so-called Donetsk People's Republic (DNR) or Luhansk People's Republic (LNR), Cuba, Iran, Syria, North Korea, or are subject to U.S. export controls or sanctions, you may not enter the Competition. Other local rules and regulations may apply to you, so please check your local laws to ensure that you are eligible to participate in skills-based competitions. The Competition Host reserves the right to forego or award alternative Prizes where needed to comply with local laws. If a winner is located in a country where prizes cannot be awarded, then they are not eligible to receive a prize.</h5>\n\nc. If you are entering as a representative of a company, educational institution or other legal entity, or on behalf of your employer, these rules are binding on you, individually, and the entity you represent or where you are an employee. If you are acting within the scope of your employment, or as an agent of another party, you warrant that such party or your employer has full knowledge of your actions and has consented thereto, including your potential receipt of a Prize. You further warrant that your actions do not violate your employer's or entity's policies and procedures.</h5>   \n\nd. The Competition Sponsor reserves the right to verify eligibility and to adjudicate on any dispute at any time. If you provide any false information relating to the Competition concerning your identity, residency, mailing address, telephone number, email address, ownership of right, or information required for entering the Competition, you may be immediately disqualified from the Competition.</h5>\n\n####2. SPONSOR AND HOSTING PLATFORM\n\na. The Competition is sponsored by Competition Sponsor named above. The Competition is hosted on behalf of Competition Sponsor by Kaggle Inc. (\"Kaggle\"). Kaggle is an independent contractor of Competition Sponsor, and is not a party to this or any agreement between you and Competition Sponsor. You understand that Kaggle has no responsibility with respect to selecting the potential Competition winner(s) or awarding any Prizes. Kaggle will perform certain administrative functions relating to hosting the Competition, and you agree to abide by the provisions relating to Kaggle under these Rules. As a Kaggle.com account holder and user of the Kaggle competition platform, remember you have accepted and are subject to the Kaggle Terms of Service at [www.kaggle.com/terms][2] in addition to these Rules.</h5>\n\n####3. COMPETITION PERIOD\na. For the purposes of Prizes, the Competition will run from the Start Date and time to the Final Submission Deadline (such duration the “Competition Period”). The Competition Timeline is subject to change, and Competition Sponsor may introduce additional hurdle deadlines during the Competition Period. Any updated or additional deadlines will be publicized on the Competition Website. It is your responsibility to check the Competition Website regularly to stay informed of any deadline changes. YOU ARE RESPONSIBLE FOR DETERMINING THE CORRESPONDING TIME ZONE IN YOUR LOCATION.</h5>\n\n####4. COMPETITION ENTRY\na. NO PURCHASE NECESSARY TO ENTER OR WIN. To enter the Competition, you must register on the Competition Website prior to the Entry Deadline, and follow the instructions for developing and entering your Submission through the Competition Website. Your Submissions must be made in the manner and format, and in compliance with all other requirements, stated on the Competition Website (the \"Requirements\"). Submissions must be received before any Submission deadlines stated on the Competition Website. Submissions not received by the stated deadlines will not be eligible to receive a Prize.</h5>\nb. Submissions may not use or incorporate information from hand labeling or human prediction of the validation dataset or test data records.</h5>\nc. If the Competition is a multi-stage competition with temporally separate training and/or test data, one or more valid Submissions may be required during each Competition stage in the manner described on the Competition Website in order for the Submissions to be Prize eligible.</h5>\nd. Submissions are void if they are in whole or part illegible, incomplete, damaged, altered, counterfeit, obtained through fraud, or late. Competition Sponsor reserves the right to disqualify any entrant who does not follow these Rules, including making a Submission that does not meet the Requirements. </h5>\n\n####5. INDIVIDUALS AND TEAMS\na. Individual Account. You may make Submissions only under one, unique Kaggle.com account. You will be disqualified if you make Submissions through more than one Kaggle account, or attempt to falsify an account to act as your proxy. You may submit up to the maximum number of Submissions per day as specified on the Competition Website. </h5>\nb. Teams. If permitted under the Competition Website guidelines, multiple individuals may collaborate as a Team; however, you may join or form only one Team. Each Team member must be a single individual with a separate Kaggle account. You must register individually for the Competition before joining a Team. You must confirm your Team membership to make it official by responding to the Team notification message sent to your Kaggle account. Team membership may not exceed the Maximum Team Size stated on the Competition Website.</h5>\nc. Team Merger. Teams may request to merge via the Competition Website. Team mergers may be allowed provided that: (i) the combined Team does not exceed the Maximum Team Size; (ii) the number of Submissions made by the merging Teams does not exceed the number of Submissions permissible for one Team at the date of the merger request; (iii) the merger is completed before the earlier of: any merger deadline or the Competition deadline; and (iv) the proposed combined Team otherwise meets all the requirements of these Rules. </h5>\nd. Private Sharing. No private sharing outside of Teams. Privately sharing code or data outside of Teams is not permitted. It's okay to share code if made available to all Participants on the forums.</h5>\n\n####6. SUBMISSION CODE REQUIREMENTS\na. Private Code Sharing. Unless otherwise specifically permitted under the Competition Website or Competition Specific Rules above, during the Competition Period, you are not allowed to privately share source or executable code developed in connection with or based upon the Competition Data or other source or executable code relevant to the Competition (“Competition Code”). This prohibition includes sharing Competition Code between separate Teams, unless a Team merger occurs. Any such sharing of Competition Code is a breach of these Competition Rules and may result in disqualification.</h5>\nb. Public Code Sharing. You are permitted to publicly share Competition Code, provided that such public sharing does not violate the intellectual property rights of any third party. If you do choose to share Competition Code or other such code, you are required to share it on Kaggle.com on the discussion forum or notebooks associated specifically with the Competition for the benefit of all competitors. By so sharing, you are deemed to have licensed the shared code under an Open Source Initiative-approved license (see [www.opensource.org][3]) that in no event limits commercial use of such Competition Code or model containing or depending on such Competition Code.</h5>\nc. Use of Open Source. Unless otherwise stated in the Specific Competition Rules above, if open source code is used in the model to generate the Submission, then you must only use open source code licensed under an Open Source Initiative-approved license (see [www.opensource.org][4]) that in no event limits commercial use of such code or model containing or depending on such code.</h5>\n\n####7. DETERMINING WINNERS\na. Each Submission will be scored and ranked by the evaluation metric stated on the Competition Website. During the Competition Period, the current ranking will be visible on the Competition Website's Public Leaderboard. The potential winner(s) are determined solely by the leaderboard ranking on the Private Leaderboard, subject to compliance with these Rules. The Public Leaderboard will be based on the public test set and the Private Leaderboard will be based on the private test set.</h5>\nb. In the event of a tie, the Submission that was entered first to the Competition will be the winner. In the event a potential winner is disqualified for any reason, the Submission that received the next highest score rank will be chosen as the potential winner.</h5>\n\n####8. NOTIFICATION OF WINNERS & DISQUALIFICATION\na. The potential winner(s) will be notified by email.</h5> \nb. If a potential winner (i) does not respond to the notification attempt within one (1) week from the first notification attempt or (ii) notifies Kaggle within one week after the Final Submission Deadline that the potential winner does not want to be nominated as a winner or does not want to receive a Prize, then, in each case (i) and (ii) such potential winner will not receive any Prize, and an alternate potential winner will be selected from among all eligible entries received based on the Competition’s judging criteria.</h5>\nc. In case (i) and (ii) above Kaggle may disqualify the Participant.  However, in case (ii) above, if requested by Kaggle, such potential winner may provide code and documentation to verify the Participant’s compliance with these Rules. If the potential winner provides code and documentation to the satisfaction of Kaggle, the Participant will not be disqualified pursuant to this paragraph.</h5>\nd. Competition Sponsor reserves the right to disqualify any Participant from the Competition if the Competition Sponsor reasonably believes that the Participant has attempted to undermine the legitimate operation of the Competition by cheating, deception, or other unfair playing practices or abuses, threatens or harasses any other Participants, Competition Sponsor or Kaggle.</h5>\ne. A disqualified Participant may be removed from the Competition leaderboard, at Kaggle's sole discretion. If a Participant is removed from the Competition Leaderboard, additional winning features associated with the Kaggle competition platform, for example Kaggle points or medals, may also not be awarded.</h5>\nf. The final leaderboard list will be publicly displayed at Kaggle.com. Determinations of Competition Sponsor are final and binding.</h5>\n\n####9. PRIZES\na. Prize(s) are as described on the Competition Website and are only available for winning during the time period described on the Competition Website. The odds of winning any Prize depends on the number of eligible Submissions received during the Competition Period and the skill of the Participants. </h5>\nb. All Prizes are subject to Competition Sponsor's review and verification of the Participant’s eligibility and compliance with these Rules, and the compliance of the winning Submissions with the Submissions Requirements. In the event that the Submission demonstrates non-compliance with these Competition Rules, Competition Sponsor may at its discretion take either of the following actions: (i) disqualify the Submission(s); or (ii) require the potential winner to remediate within one week after notice all issues identified in the Submission(s) (including, without limitation, the resolution of license conflicts, the fulfillment of all obligations required by software licenses, and the removal of any software that violates the software restrictions).</h5>\nc. A potential winner may decline to be nominated as a Competition winner in accordance with Section 3.8.</h5>\nd. Potential winners must return all required Prize acceptance documents within two (2) weeks following notification of such required documents, or such potential winner will be deemed to have forfeited the prize and another potential winner will be selected. Prize(s) will be awarded within approximately thirty (30) days after receipt by Competition Sponsor or Kaggle of the required Prize acceptance documents. Transfer or assignment of a Prize is not allowed. </h5>\ne. You are not eligible to receive any Prize if you do not meet the Eligibility requirements in Section 2.7 and Section 3.1 above.</h5>\nf. If a Team wins a monetary Prize, the Prize money will be allocated in even shares between the eligible Team members, unless the Team unanimously opts for a different Prize split and notifies Kaggle before Prizes are issued.</h5>\n\n####10. TAXES\na. ALL TAXES IMPOSED ON PRIZES ARE THE SOLE RESPONSIBILITY OF THE WINNERS. Payments to potential winners are subject to the express requirement that they submit all documentation requested by Competition Sponsor or Kaggle for compliance with applicable state, federal, local and foreign (including provincial) tax reporting and withholding requirements. Prizes will be net of any taxes that Competition Sponsor is required by law to withhold. If a potential winner fails to provide any required documentation or comply with applicable laws, the Prize may be forfeited and Competition Sponsor may select an alternative potential winner. Any winners who are U.S. residents will receive an IRS Form-1099 in the amount of their Prize.</h5>\n\n####11. GENERAL CONDITIONS\na. All federal, state, provincial and local laws and regulations apply.</h5>\n\n####12. PUBLICITY\na. You agree that Competition Sponsor, Kaggle and its affiliates may use your name and likeness for advertising and promotional purposes without additional compensation, unless prohibited by law.</h5>\n\n####13. PRIVACY\na. You acknowledge and agree that Competition Sponsor and Kaggle may collect, store, share and otherwise use personally identifiable information provided by you during the Kaggle account registration process and the Competition, including but not limited to, name, mailing address, phone number, and email address (“Personal Information”). Kaggle acts as an independent controller with regard to its collection, storage, sharing, and other use of this Personal Information, and will use this Personal Information in accordance with its Privacy Policy <[www.kaggle.com/privacy][6]>, including for administering the Competition. As a Kaggle.com account holder, you have the right to request access to, review, rectification, portability or deletion of any personal data held by Kaggle about you by logging into your account and/or contacting Kaggle Support at <[www.kaggle.com/contact][7]>.</h5>\nb. As part of Competition Sponsor performing this contract between you and the Competition Sponsor, Kaggle will transfer your Personal Information to Competition Sponsor, which acts as an independent controller with regard to this Personal Information. As a controller of such Personal Information, Competition Sponsor agrees to comply with all U.S. and foreign data protection obligations with regard to your Personal Information. Kaggle will transfer your Personal Information to Competition Sponsor in the country specified in the Competition Sponsor Address listed above, which may be a country outside the country of your residence. Such country may not have privacy laws and regulations similar to those of the country of your residence.</h5>\n\n####14. WARRANTY, INDEMNITY AND RELEASE \na. You warrant that your Submission is your own original work and, as such, you are the sole and exclusive owner and rights holder of the Submission, and you have the right to make the Submission and grant all required licenses.  You agree not to make any Submission that: (i) infringes any third party proprietary rights, intellectual property rights, industrial property rights, personal or moral rights or any other rights, including without limitation, copyright, trademark, patent, trade secret, privacy, publicity or confidentiality obligations, or defames any person; or (ii) otherwise violates any applicable U.S. or foreign state or federal law.</h5>\nb. To the maximum extent permitted by law, you indemnify and agree to keep indemnified Competition Entities at all times from and against any liability, claims, demands, losses, damages, costs and expenses resulting from any of your acts, defaults or omissions and/or a breach of any warranty set forth herein. To the maximum extent permitted by law, you agree to defend, indemnify and hold harmless the Competition Entities from and against any and all claims, actions, suits or proceedings, as well as any and all losses, liabilities, damages, costs and expenses (including reasonable attorneys fees) arising out of or accruing from: (a) your Submission or other material uploaded or otherwise provided by you that infringes any third party proprietary rights, intellectual property rights, industrial property rights, personal or moral rights or any other rights, including without limitation, copyright, trademark, patent, trade secret, privacy, publicity or confidentiality obligations, or defames any person; (b) any misrepresentation made by you in connection with the Competition; (c) any non-compliance by you with these Rules or any applicable U.S. or foreign state or federal law; (d) claims brought by persons or entities other than the parties to these Rules arising from or related to your involvement with the Competition; and (e) your acceptance, possession, misuse or use of any Prize, or your participation in the Competition and any Competition-related activity.</h5>\nc. You hereby release Competition Entities from any liability associated with: (a) any malfunction or other problem with the Competition Website; (b) any error in the collection, processing, or retention of any Submission; or (c) any typographical or other error in the printing, offering or announcement of any Prize or winners.</h5>\n\n####15. INTERNET\na. Competition Entities are not responsible for any malfunction of the Competition Website or any late, lost, damaged, misdirected, incomplete, illegible, undeliverable, or destroyed Submissions or entry materials due to system errors, failed, incomplete or garbled computer or other telecommunication transmission malfunctions, hardware or software failures of any kind, lost or unavailable network connections, typographical or system/human errors and failures, technical malfunction(s) of any telephone network or lines, cable connections, satellite transmissions, servers or providers, or computer equipment, traffic congestion on the Internet or at the Competition Website, or any combination thereof, which may limit a Participant’s ability to participate.</h5>\n\n####16. RIGHT TO CANCEL, MODIFY OR DISQUALIFY\na. If for any reason the Competition is not capable of running as planned, including infection by computer virus, bugs, tampering, unauthorized intervention, fraud, technical failures, or any other causes which corrupt or affect the administration, security, fairness, integrity, or proper conduct of the Competition, Competition Sponsor reserves the right to cancel, terminate, modify or suspend the Competition. Competition Sponsor further reserves the right to disqualify any Participant who tampers with the submission process or any other part of the Competition or Competition Website.  Any attempt by a Participant to deliberately damage any website, including the Competition Website, or undermine the legitimate operation of the Competition is a violation of criminal and civil laws. Should such an attempt be made, Competition Sponsor and Kaggle each reserves the right to seek damages from any such Participant to the fullest extent of the applicable law.</h5>\n\n####17. NOT AN OFFER OR CONTRACT OF EMPLOYMENT\na. Under no circumstances will the entry of a Submission, the awarding of a Prize, or anything in these Rules be construed as an offer or contract of employment with Competition Sponsor or any of the Competition Entities. You acknowledge that you have submitted your Submission voluntarily and not in confidence or in trust. You acknowledge that no confidential, fiduciary, agency, employment or other similar relationship is created between you and Competition Sponsor or any of the Competition Entities by your acceptance of these Rules or your entry of your Submission.</h5>\n\n####18. DEFINITIONS\na. \"Competition Data\" are the data or datasets available from the Competition Website for the purpose of use in the Competition, including any prototype or executable code provided on the Competition Website. The Competition Data will contain private and public test sets. Which data belongs to which set will not be made available to Participants. </h5>\nb. An “Entry” is when a Participant has joined, signed up, or accepted the rules of a competition. Entry is required to make a Submission to a competition.</h5>\nc. A “Final Submission” is the Submission selected by the user, or automatically selected by Kaggle in the event not selected by the user, that is/are used for final placement on the competition leaderboard.</h5>\nd. A “Participant” or “Participant User” is an individual who participates in a competition by entering the competition and making a Submission.</h5>\ne. The “Private Leaderboard” is a ranked display of Participants’ Submission scores against the private test set. The Private Leaderboard determines the final standing in the competition.</h5>\nf. The “Public Leaderboard” is a ranked display of Participants’ Submission scores against a representative sample of the test data. This leaderboard is visible throughout the competition.</h5>\ng. A “Sponsor” is responsible for hosting the competition, which includes but is not limited to providing the data for the competition, determining winners, and enforcing competition rules.</h5>\nh. A “Submission” is anything provided by the Participant to the Sponsor to be evaluated for competition purposes and determine leaderboard position. A Submission may be made as a model, notebook, prediction file, or other format as determined by the Sponsor.</h5>\ni. A “Team” is one or more Participants participating together in a Kaggle competition, by officially merging together as a Team within the competition platform.</h5>\n\n  [1]: https://www.treasury.gov/resource-center/sanctions/Programs/Pages/Programs.aspx\n  [2]: http://www.kaggle.com/terms\n  [3]: http://www.opensource.org\n  [4]: http://www.opensource.org\n  [5]: https://www.kaggle.com/WinningModelDocumentationGuidelines\n  [6]: http://www.kaggle.com/privacy\n  [7]: http://www.kaggle.com/contact\n",
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