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README.md

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+# Wiki-Talks
+
+The Wiki-Talks dataset is a collection of conversational threads extracted from the talk pages on Wikipedia.
+This dataset captures collaborative dialogue, discussion patterns, and consensus-building among Wikipedia contributors.
+It is useful for NLP research focused on dialogue, sentiment analysis, and community dynamics.
+
+## Details
+
+### Description
+
+The Wiki-Talks dataset contains discussion threads from Wikipedia’s talk pages.
+Each thread includes a conversation title, a main message, and nested replies, capturing the sequence and structure of discussions.
+This dataset provides a unique view into how contributors collaborate, negotiate meaning, and resolve conflicts when editing content on Wikipedia.
+
+- **Curated by:** @lflage
+- **Language(s) (NLP):** Various languages, reflecting the multilingual nature of Wikipedia (e.g., English, Spanish, German, and many others)
+- **License:** CC BY-SA 3.0
+
+### Dataset Sources [optional]
+
+- **Repository:** [Wiki-Talks](https://github.com/lflage/wiki-talks)
+
+## Uses
+
+The Wiki-Talks dataset is intended for research and development in NLP fields that require structured conversational data.
+Some use cases include:
+
+- **Dialogue Modeling:** Training models for conversational agents that need to capture turn-taking and structured discourse.
+- **Sentiment Analysis:** Analyzing language use, tone, and sentiment in collaborative or contentious settings.
+- **Toxicity and Moderation:** Developing models for detecting inappropriate content and toxicity in user interactions.
+- **Discourse and Pragmatics Research:** Studying patterns of collaboration, argumentation, and consensus-building in online communities.
+
+## Dataset Structure
+
+The Wiki-Talks dataset is organized in a nested format to capture the hierarchical structure of conversations. Each thread contains:
+
+The `threads` column contains the nested thread structure.
+
+- `title` (str): The title of the discussion thread.
+- `message` (str): The main message initiating the conversation.
+- `replies` (list of reply objects): Each `reply` object contains:
+  - `message` (str): The reply message.
+  - `replies` (list of nested reply objects): Nested replies within the conversation, capturing deeper levels of response and discussion.
+
+```
+thread = { "title": str,
+			"message": str,
+			"replies: list[reply]}
+reply = { "message": str,
+	       replies: list[reply]}
+```
+
+## Dataset Creation
+
+### Source Data
+
+The data was collected from publicly available Wikipedia talk pages, more specifically the pages-meta-current.
+
+#### Data Collection and Processing
+
+Data was selected from Wikipedia's talk pages and processed to structure the threads and replies hierarchically.
+The dataset includes only messages from public Wikipedia dumps and was processed using WikiTextParser, lxml and python standard libraries.
+It uses the time signature of a comment on a thread to delimit a comment.
+
+### Recommendations
+
+When using this dataset, the following should be considered:
+
+- **Bias**: As Wikipedia is user-generated, discussions may reflect certain biases based on the contributors' demographics, interests, or viewpoints.
+- **Limitations**: Conversations may sometimes be off-topic or contain incomplete responses due to the open nature of Wikipedia.
+- **Technical**: The dataset can be large and memory-intensive due to nested structures; consider streaming methods for processing.
+
+## Citation [optional]
+
+For citation please refer to the original repository.
+
+## Contribution
+
+Refer to the [repository](https://github.com/lflage/wiki-talks) for how to contribute to expand the dataset