Upload README.md

README.md

@@ -2,13 +2,13 @@
 language:
 - en
 tags:
-- adult
+- acute_inflammation
 - tabular_classification
 - binary_classification
 - multiclass_classification
-pretty_name: Adult
+pretty_name: Acute Inflammation
 size_categories:
-- 10K<n<100K
+- 100<n<1K
 task_categories:  # Full list at https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts
 - tabular-classification
 configs:
@@ -17,40 +17,19 @@ configs:
 - income-no race
 - race
 ---
-# Adult
-The [Adult dataset](https://archive.ics.uci.edu/ml/datasets/Adult) from the [UCI ML repository](https://archive.ics.uci.edu/ml/datasets).
+# Acute Inflammation
+The [Acute Inflammation dataset](https://archive.ics.uci.edu/ml/datasets/Acute Inflammation) from the [UCI ML repository](https://archive.ics.uci.edu/ml/datasets).
 Census dataset including personal characteristic of a person, and their income threshold.
 
 # Configurations and tasks
 | **Configuration** | **Task**                  | Description                                                   |
 |-------------------|---------------------------|---------------------------------------------------------------|
-| encoding          |                           | Encoding dictionary                                           |
-| income            | Binary classification     | Classify the person's income as over or under the threshold.  |
-| income-no race    | Binary classification     | As `income`, but the `race` feature is removed.               |
-| race              | Multiclass classification | Predict the race of the individual.                           |
+| inflammation      | Binary classification     | Predict if the patient has an acute inflammation.             |
 
 # Usage
 ```
 from datasets import load_dataset
 from sklearn.tree import DecisionTreeClassifier
 
-dataset = load_dataset("mstz/adult", "income")["train"]
+dataset = load_dataset("mstz/acute_inflammation", "inflammation")["train"]
 ```
-
-# Features
-|**Feature**        |**Type**   | **Description**                                           |
-|-------------------|-----------|-----------------------------------------------------------|
-|`age`              |`[int64]`  | Age of the person                                         |
-|`capital_gain`     |`[float64]`| Capital gained by the person                              |
-|`capital_loss`     |`[float64]`| Capital lost by the person                                |
-|`education`        |`[int8]`   | Education level: the higher, the more educated the person |
-|`final_weight`     |`[int64]`  |                                                           |
-|`hours_per_week`   |`[int64]`  | Hours worked per week                                     |
-|`marital_status`   |`[string]` | Marital status of the person                              |
-|`native_country`   |`[string]` | Native country of the person                              |
-|`occupation`       |`[string]` | Job of the person                                         |
-|`race`             |`[string]` | Race of the person                                        |
-|`relationship`     |`[string]` |                                                           |
-|`sex`              |`[int8]`   | Sex of the person                                         |
-|`workclass`        |`[string]` | Type of job of the person                                 |
-|`over_threshold`   |`int8`     |`1` for income `>= 50k$`, `0` otherwise                    |