Update README.md

README.md

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 This dataset is provided by the research "Concreteness ratings for 40 thousand generally known English word lemmas" of Brysbaert et al. (2014).
 The original dataset can be found [here](https://osf.io/kj76e/).
 
-## Column Description
-| **Column Name**              | **Description**                                           | **Values**                                                                                       |
-|------------------------------|-----------------------------------------------------------|--------------------------------------------------------------------------------------------------|
-| `WorkerId`                   | Unique Amazon Mechanical Turk personal ID                 |                                                                                                  |
-| `WorkTimeInSeconds`           | Time between accepting and submitting the assignment       |                                                                                                  |
-| `LifetimeApprovalRate`        | Prior assignments approved                                |                                                                                                  |
-| `Last30DaysApprovalRate`      | Prior assignments approved in the last 30 days            |                                                                                                  |
-| `Last7DaysApprovalRate`       | Prior assignments approved in the last 7 days             |                                                                                                  |
-| `Answer.QAge`                 | Responder's age                                           |                                                                                                  |
-| `Answer.QEducation`           | Level of education that describes the responder best      | Some high school; high school graduate; some college-no degree; Associates degree; Bachelors degree; Masters degree; Doctorate; Unspecified |
-| `Answer.QGender`              | Responder's gender                                        | Female; Male; Unspecified                                                                        |
-| `Answer.QHand`                | Responder's dominant hand                                 | Left; Right; Unspecified                                                                         |
-| `Answer.QLang`                | Responder's language(s)                                   |                                                                                                  |
-| `Answer.QRaised`              | State where the responder lived most of the time before age 7 | US states                                                                                        |
-| `Word`                        | Stimulus word                                             |                                                                                                  |
-| `Rating`                      | Rating of the stimulus word                               | 1-5 or "n"/"N" for unknown word                                                                  |
-
 ## Usage
 This dataset is ideal for training and evaluating machine learning models for English word concreteness.