Update README.md

README.md

@@ -1,33 +1,60 @@
----
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: transcript
-    dtype: string
-  - name: correct_word
-    dtype: string
-  - name: distractors
-    sequence: string
-  splits:
-  - name: en_in
-    num_bytes: 112016
-    num_examples: 216
-  - name: en_ng
-    num_bytes: 134525
-    num_examples: 251
-  - name: en_us
-    num_bytes: 177428
-    num_examples: 427
-  download_size: 215006
-  dataset_size: 423969
-configs:
-- config_name: default
-  data_files:
-  - split: en_in
-    path: data/en_in-*
-  - split: en_ng
-    path: data/en_ng-*
-  - split: en_us
-    path: data/en_us-*
----
+## Original Attribution
+
+MD3-EN: The Multi-Dialect Dataset of Dialogues
+- Authors: Jacob Eisenstein (jeisenstein@google.com), Clara Rivera, Vinodkumar Prabhakaran, Jon Clark, Dora Demszky, Sunny Mak, Ravi Rajakumar, David Elworthy, Landis Baker, Devyani Sharma
+- Paper: https://arxiv.org/abs/2305.11355, published at InterSpeech 2023
+- License: CC BY-SA 4.0
+
+## Dataset Description
+
+The MD3 Taboo Game dataset consists of transcripts of two people playing the Taboo game, where one person tries to get the other to guess a secret word without saying certain distractor words.
+
+The dataset includes:
+- Transcripts from 3 English dialects: Indian English (en_in), Nigerian English (en_ng), and American English (en_us)
+- The correct word to be guessed in each game
+- Distractor words that cannot be used during the game
+
+## Dataset Structure
+
+The dataset is organized into three splits by dialect:
+- `en_in`: Indian English
+- `en_ng`: Nigerian English
+- `en_us`: American English
+
+Each split contains the following fields:
+- `id`: Unique identifier for the dialogue
+- `transcript`: The dialogue transcript
+- `correct_word`: The target word to be guessed
+- `distractors`: List of words that cannot be used during the game
+
+## Usage
+
+This dataset can be used to evaluate language models on their ability to understand contextual clues and infer missing information, similar to how a human would play the Taboo game.
+
+Example usage:
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("REPO_NAME_HERE")
+example = dataset["en_us"][0]
+print(f"Transcript: {example['transcript']}")
+print(f"Correct word: {example['correct_word']}")
+print(f"Distractors: {example['distractors']}")
+```
+
+## Citation
+
+If you use this dataset, please cite the original MD3 paper:
+
+```
+@inproceedings{eisenstein2023md3,
+  title={MD3: The Multi-Dialect Dataset of Dialogues},
+  author={Eisenstein, Jacob and Rivera, Clara and Prabhakaran, Vinodkumar and Clark, Jon and Demszky, Dora and Mak, Sunny and Rajakumar, Ravi and Elworthy, David and Baker, Landis and Sharma, Devyani},
+  booktitle={Proceedings of INTERSPEECH},
+  year={2023}
+}
+```
+
+## License
+
+This re-release of the dataset is bound by the original MD3 corpus CC BY-SA 4.0 license.