Update README.md

README.md

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 <!This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).>
 
-A multilingual dataset of high-quality speech recordings in Norwegian, English, and Polish, designed for research into cross-linguistic influence, multilingual language acquisition, and applications in NLP and speech processing such as ASR, TTS, and linguistic variability modeling. The dataset includes speech samples from naturalistic and instructed learners of Norwegian, featuring structured experimental tasks such as reading, picture description, and spontaneous conversation to capture phonological, syntactic, and semantic variability.
-
+A multilingual dataset of high-quality speech recordings in Norwegian, English, and Polish, designed for research into cross-linguistic influence, multilingual language acquisition, and applications in NLP and speech processing such as ASR, TTS, and linguistic variability modeling. The dataset includes 2,783 recordings, totaling 101 hours, with a size of 50.1 GB. These recordings capture phonological, syntactic, and semantic variability through structured tasks like reading, picture description, and spontaneous conversation.
 ## Dataset Details
 
 ### Dataset Description
@@ -72,7 +71,29 @@ A multilingual dataset of high-quality speech recordings in Norwegian, English,
 
 <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
 
-[More Information Needed]
+The recordings are systematically labeled using a structured format: **PROJECT_SPEAKER ID_LANGUAGE STATUS_TASK**.
+
+Each component of the label provides specific details:
+
+- **PROJECT:** The project under which the data was collected. Possible values:
+  - **A** for ADIM,
+  - **C** for CLIMAD.
+- **SPEAKER ID:** A unique 8-character identifier assigned to each speaker.
+- **LANGUAGE STATUS:** The language used in the recording and its status for the speaker; examples:
+  - **L1PL** (Polish as L1),
+  - **L2EN** (English as L2),
+  - **L3NO** (Norwegian as L3).
+- **TASK:** The type of speech task recorded. Examples include:
+  - **WR** (word reading),
+  - **SR** (sentence reading),
+  - **TR** (text reading "The North Wind and the Sun"),
+  - **PD** (picture description),
+  - **ST** (story telling),
+  - **VT** (video story telling),
+  - **VD** (video description),
+  - **TP/TE** (translation from Polish/English into Norwegian).
+
+If a task type was repeated, sequential numbers (e.g., SR1, SR2) are appended to distinguish iterations.
 
 ## Dataset Creation
 
@@ -86,7 +107,7 @@ The dataset was developed to advance research in multilingualism and third langu
 
 <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
 
-The dataset was collected as part of two research projects, CLIMAD (Cross-linguistic Influence in Multilingualism across Domains: Phonology and Syntax) and ADIM (Across-domain Investigations in Multilingualism: Modeling L3 Acquisition in Diverse Settings), which focused on cross-linguistic influence and L3 acquisition in multilingual settings. The dataset comprises recordings from 242 [TO BE CONFIRMED] speakers across three languages: Norwegian, English, and Polish. Speakers include L1 Polish learners of Norwegian, L1 English and L1 Norwegian natives, and L2/L3/Ln speakers of English and Norwegian. Speech was elicited using a range of tasks such as word, sentence, and text readings, picture descriptions, video story retelling, and socio-phonetic interviews. Metadata is based on the Language History Questionnaire and includes age, gender, language proficiency, exposure, and other sociolinguistic factors.
+The dataset was collected as part of two research projects, CLIMAD (Cross-linguistic Influence in Multilingualism across Domains: Phonology and Syntax) and ADIM (Across-domain Investigations in Multilingualism: Modeling L3 Acquisition in Diverse Settings), which focused on cross-linguistic influence and L3 acquisition in multilingual settings. The dataset comprises recordings from 231 speakers across three languages: Norwegian, English, and Polish. Speakers include L1 Polish learners of Norwegian, L1 English and L1 Norwegian natives, and L2/L3/Ln speakers of English and Norwegian. Speech was elicited using a range of tasks such as word, sentence, and text readings, picture descriptions, video story retelling, and socio-phonetic interviews. Metadata is based on the Language History Questionnaire and includes age, gender, language proficiency, exposure, and other sociolinguistic factors.
 
 #### Data Collection and Processing