Duplicate from agentlans/en-document-topic-classification

Co-authored-by: Alan Tseng <agentlans@users.noreply.huggingface.co>

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README.md

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+---
+language:
+- en
+license: odc-by
+tags:
+- document-classification
+- text-classification
+- web-pages
+configs:
+- config_name: All
+  default: true
+  data_files:
+  - path:
+    - All/train.jsonl.zst
+    split: train
+  - path:
+    - All/test.jsonl.zst
+    split: test
+- config_name: ArtDesign
+  data_files:
+  - path:
+    - ArtDesign.jsonl.zst
+    split: train
+- config_name: ArtsEntertainment
+  data_files:
+  - path:
+    - ArtsEntertainment.jsonl.zst
+    split: train
+- config_name: AutosVehicles
+  data_files:
+  - path:
+    - AutosVehicles.jsonl.zst
+    split: train
+- config_name: BeautyFitness
+  data_files:
+  - path:
+    - BeautyFitness.jsonl.zst
+    split: train
+- config_name: BooksLiterature
+  data_files:
+  - path:
+    - BooksLiterature.jsonl.zst
+    split: train
+- config_name: BusinessIndustry
+  data_files:
+  - path:
+    - BusinessIndustry.jsonl.zst
+    split: train
+- config_name: EducationCareers
+  data_files:
+  - path:
+    - EducationCareers.jsonl.zst
+    split: train
+- config_name: ElectronicsHardware
+  data_files:
+  - path:
+    - ElectronicsHardware.jsonl.zst
+    split: train
+- config_name: FinanceInvestment
+  data_files:
+  - path:
+    - FinanceInvestment.jsonl.zst
+    split: train
+- config_name: FoodDrink
+  data_files:
+  - path:
+    - FoodDrink.jsonl.zst
+    split: train
+- config_name: GamesRecreation
+  data_files:
+  - path:
+    - GamesRecreation.jsonl.zst
+    split: train
+- config_name: HealthWellness
+  data_files:
+  - path:
+    - HealthWellness.jsonl.zst
+    split: train
+- config_name: HobbiesLeisure
+  data_files:
+  - path:
+    - HobbiesLeisure.jsonl.zst
+    split: train
+- config_name: HomeGardening
+  data_files:
+  - path:
+    - HomeGardening.jsonl.zst
+    split: train
+- config_name: IndustrialManufacturing
+  data_files:
+  - path:
+    - IndustrialManufacturing.jsonl.zst
+    split: train
+- config_name: InternetTelecom
+  data_files:
+  - path:
+    - InternetTelecom.jsonl.zst
+    split: train
+- config_name: LawGovernment
+  data_files:
+  - path:
+    - LawGovernment.jsonl.zst
+    split: train
+- config_name: NewsPolitics
+  data_files:
+  - path:
+    - NewsPolitics.jsonl.zst
+    split: train
+- config_name: PeopleSociety
+  data_files:
+  - path:
+    - PeopleSociety.jsonl.zst
+    split: train
+- config_name: RealEstateProperty
+  data_files:
+  - path:
+    - RealEstateProperty.jsonl.zst
+    split: train
+- config_name: ReligionSociety
+  data_files:
+  - path:
+    - ReligionSociety.jsonl.zst
+    split: train
+- config_name: ScienceResearch
+  data_files:
+  - path:
+    - ScienceResearch.jsonl.zst
+    split: train
+- config_name: ShoppingRetail
+  data_files:
+  - path:
+    - ShoppingRetail.jsonl.zst
+    split: train
+- config_name: SoftwareApplications
+  data_files:
+  - path:
+    - SoftwareApplications.jsonl.zst
+    split: train
+- config_name: SoftwareEngineering
+  data_files:
+  - path:
+    - SoftwareEngineering.jsonl.zst
+    split: train
+- config_name: SportsAthletics
+  data_files:
+  - path:
+    - SportsAthletics.jsonl.zst
+    split: train
+- config_name: TravelTransportation
+  data_files:
+  - path:
+    - TravelTransportation.jsonl.zst
+    split: train
+---
+# English Document Topic Classification Dataset
+
+English-language web pages classified by document topic, designed to train robust text classifiers and provide ready-to-use data for specific web topics.
+
+* **Purpose:** Train generalized document classifiers or extract clean, single-topic corpora for specific downstream tasks.
+* **Configurations:** Each document topic is available in its own dedicated dataset configuration (e.g., `HomeGardening`, `GamesRecreation`).
+* **Splits:** The `All` configuration contains every document topic combined, featuring a 10% stratified test split.
+
+## Curation & Filtering Pipeline
+
+This dataset is derived from a subset of the first 1 million rows of [`allenai/c4`](https://huggingface.co/datasets/allenai/c4), utilizing annotations from [`agentlans/en-document-classification`](https://huggingface.co/datasets/agentlans/en-document-classification).
+
+Samples are included only when the `nvidia_domain` field matches `weborganizer_topic` according to the following mapping.
+
+These 27 categories cover 62% of the samples from the original dataset.
+
+<details>
+<summary>Click here for the table</summary>
+
+| `nvidia_domain` | `weborganizer_topic` | Label |
+|---|---|---|
+| Arts_and_Entertainment | Entertainment | Arts & Entertainment |
+| Health | Health | Health & Wellness |
+| Home_and_Garden | Home & Hobbies | Home & Gardening |
+| Jobs_and_Education | Education & Jobs | Education & Careers |
+| Sports | Sports & Fitness | Sports & Athletics |
+| Food_and_Drink | Food & Dining | Food & Drink |
+| Business_and_Industrial | Finance & Business | Business & Industry |
+| Travel_and_Transportation | Travel & Tourism | Travel & Transportation |
+| Finance | Finance & Business | Finance & Investment |
+| Games | Games | Games & Recreation |
+| People_and_Society | Religion | Religion & Society |
+| Arts_and_Entertainment | Art & Design | Art & Design |
+| Autos_and_Vehicles | Transportation | Autos & Vehicles |
+| Computers_and_Electronics | Electronics & Hardare | Electronics & Hardware |
+| Business_and_Industrial | Industrial | Industrial & Manufacturing |
+| Computers_and_Electronics | Software Development | Software Engineering |
+| Real_Estate | Home & Hobbies | Real Estate & Property |
+| News | Politics | News & Politics |
+| Beauty_and_Fitness | Fashion & Beauty | Beauty & Fitness |
+| Computers_and_Electronics | Software | Software Applications |
+| Shopping | Fashion & Beauty | Shopping & Retail |
+| Science | Science, Math & Technology | Science & Research |
+| Law_and_Government | Crime & Law | Law & Government |
+| Books_and_Literature | Literature | Books & Literature |
+| Internet_and_Telecom | Software | Internet & Telecom |
+| Hobbies_and_Leisure | Home & Hobbies | Hobbies & Leisure |
+| People_and_Society | Social Life | People & Society |
+
+</details>
+
+## Class Distribution (`All` Split)
+
+| Label | Train | Test | Total |
+|-------|-------|------|-------|
+| Art & Design | 18889 | 2099 | 20988 |
+| Arts & Entertainment | 46263 | 5140 | 51403 |
+| Autos & Vehicles | 18750 | 2083 | 20833 |
+| Beauty & Fitness | 15036 | 1671 | 16707 |
+| Books & Literature | 11836 | 1315 | 13151 |
+| Business & Industry | 28997 | 3222 | 32219 |
+| Education & Careers | 34707 | 3856 | 38563 |
+| Electronics & Hardware | 17651 | 1961 | 19612 |
+| Finance & Investment | 20910 | 2323 | 23233 |
+| Food & Drink | 32989 | 3665 | 36654 |
+| Games & Recreation | 19046 | 2116 | 21162 |
+| Health & Wellness | 40407 | 4490 | 44897 |
+| Hobbies & Leisure | 9158 | 1018 | 10176 |
+| Home & Gardening | 39439 | 4382 | 43821 |
+| Industrial & Manufacturing | 16477 | 1831 | 18308 |
+| Internet & Telecom | 10404 | 1156 | 11560 |
+| Law & Government | 12108 | 1345 | 13453 |
+| News & Politics | 15207 | 1690 | 16897 |
+| People & Society | 8029 | 892 | 8921 |
+| Real Estate & Property | 15841 | 1760 | 17601 |
+| Religion & Society | 18958 | 2107 | 21065 |
+| Science & Research | 12203 | 1356 | 13559 |
+| Shopping & Retail | 13245 | 1472 | 14717 |
+| Software Applications | 14332 | 1593 | 15925 |
+| Software Engineering | 15864 | 1763 | 17627 |
+| Sports & Athletics | 34525 | 3836 | 38361 |
+| Travel & Transportation | 22805 | 2534 | 25339 |
+| **Total** | 564076 | 62676 | 626752 |
+
+## Licensing
+
+Distributed under the Open Data Commons Attribution License (ODC-BY), matching the licensing terms of upstream sources [`allenai/c4`](https://huggingface.co/datasets/allenai/c4) and [`agentlans/en-document-classification`](https://www.google.com/search?q=https://huggingface.co/datasets/agentlans/en-document-classification).
+

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