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Update README.md

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  1. README.md +443 -356
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@@ -1,356 +1,443 @@
1
- ---
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- license: bigscience-openrail-m
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- dataset_info:
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- splits:
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- - name: train
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- num_bytes: 12320915
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- num_examples: 1945
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- download_size: 3855784
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- dataset_size: 12320915
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: bigscience-openrail-m
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+ dataset_info:
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+ - name: url
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+ dtype: string
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+ - name: milestone.created_at
334
+ dtype: int64
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+ - name: milestone.updated_at
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+ dtype: int64
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+ - name: milestone.due_on
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+ dtype: 'null'
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+ - name: milestone.closed_at
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+ dtype: 'null'
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+ - name: is_pull_request
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+ dtype: bool
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+ - name: comments_text
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+ list: string
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+ splits:
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+ - name: train
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+ num_bytes: 12320915
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+ num_examples: 1945
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+ download_size: 3855784
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+ dataset_size: 12320915
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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+ task_categories:
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+ - feature-extraction
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+ language:
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+ - en
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+ size_categories:
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+ - 1K<n<10K
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+ ---
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+
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+ # GitHub Issue with Comments – Hugging Face/datasets Repository
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+
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+ ## Dataset Summary
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+ This dataset contains 1,945 structured GitHub issue comments collected from the huggingface/datasets repository. Each comment includes metadata such as author details, timestamps, reactions and association type. The dataset is ideal for analysing open-source community dynamics, sentiment trends, contributor behaviour and natural language patterns in technical discussions.
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+
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+ ## Dataset Structure
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+ ## 📊 Fields Overview
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+
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+ | Field Group | Description |
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+ |------------------------|-----------------------------------------------------------------------------|
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+ | **Issue Metadata** | `url`, `repository_url`, `html_url`, `id`, `node_id`, `number`, `title`, `body`, `state`, `locked`, `comments`, `created_at`, `updated_at`, `closed_at`, `state_reason` |
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+ | **User Info** | `user.login`, `user.id`, `user.type`, `user.site_admin` |
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+ | **Reactions** | Counts for `+1`, `-1`, `laugh`, `hooray`, `confused`, `heart`, `rocket`, `eyes` |
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+ | **Labels** | Nested structure containing label `name`, `color`, `description` |
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+ | **Assignees / Milestone** | Includes user objects and milestone metadata when present |
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+ | **Comments** | `comments_url`, integer count `comments`, and `comments_text` (list of comment bodies) |
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+ | **Pull Request Exclusion** | Boolean field `is_pull_request` used for filtering |
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+ | **Derived Data** | `comments_text` is a list of comment strings retrieved using GitHub API calls |
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+
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+
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+ ## Data Types
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+
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+ | Type | Example Columns |
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+ |----------------|----------------------------------------------------------------------------------|
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+ | `string` | `title`, `body`, `state`, `user.login` |
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+ | `int64` | `id`, `number`, `comments`, `reactions.total_count` |
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+ | `bool` | `locked`, `user.site_admin`, `is_pull_request` |
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+ | `list[string]` | `comments_text` |
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+ | `list[object]` | `labels`, `assignees` |
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+ | `float64` | Some milestone and dependency metrics |
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+
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+ ## Source
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+ - Repository: huggingface/datasets
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+ - API Endpoint: https://api.github.com/repos/huggingface/datasets/issues
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+ - Collection Method: API calls (per_page=100, page=1–40). Automated retrieval via GitHub API (authenticated requests) using Python requests and pandas.
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+ - Collection Date: 15 Oct 2025
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+ - License: GitHub content is subject to GitHub Terms of Service
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+
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+ ## Intended Uses
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+ - NLP Tasks: Sentiment analysis, topic modelling, summarisation
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+ - Community Analytics: Contributor engagement, reaction trends
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+ - Model Training: Fine-tuning on technical dialogue and bug reporting
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+ - Feature Engineering: Text length, emoji usage, time-based features, user roles
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+
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+ ## Limitations
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+ - Comments are limited to public issues only.
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+ - Incomplete comment history: Only the first 100 comments per issue may be retrieved due to GitHub pagination limits unless further expanded.
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+ - Temporal Bias: The dataset represents the repository state at the time of collection; issue activity is continuously evolving.
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+ - Limited coverage: Data reflects the practices of one repository (huggingface/datasets), not all open-source projects.
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+
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+ ## Dataset Creation script
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+ - Data was collected using Python requests library by GitHub REST API:
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+ - url = "https://api.github.com/repos/huggingface/datasets/issues?page={page}&per_page=100&state=all"
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+ - headers = {"Authorization": f"token {your_token}"}
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+ - response = requests.get(url, headers=headers)
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+ - Comments were flattened into a tabular format. Timestamps were parsed, and nested fields (e.g., user, reactions) were expanded.
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+
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+ ## License
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+ - License Name: BigScience OpenRAIL-M License
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+ - The dataset is available for responsible research.
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+ - No harmful, unethical or malicious applications are derived from it.
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+ - Proper attribution to data sources (GitHub and Hugging Face) is maintained.
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+
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+ ## Ethical Considerations
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+ - All data is publicly available via GitHub’s API.
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+ - Usernames and profile links are included; please respect contributor privacy and avoid misuse.
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+
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+ ## Privacy considerations
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+ - All data was collected from publicly accessible GitHub issue comments via the GitHub REST API.
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+ - Usernames, profile URLs and other metadata are included as part of the original public content.
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+ - No private or sensitive data was collected or included.
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+
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+ ## Storage and Distribution:
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+ - The dataset is stored and distributed via the Hugging Face Hub.
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+ - Download size: ~3.85MB
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+ - Number of records: 1,945
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+ ## References
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+ - GitHub REST API documentation: https://docs.github.com/en/rest
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+ - Hugging Face Datasets Documentation: https://huggingface.co/docs/datasets
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+ - BigScience OpenRAIL-M License: https://huggingface.co/spaces/bigscience/license