Release v0.11.8: normalized multi-source technical threads

Publish linked 18-column thread and post tables from six source families. Keep source identifiers, attribution, license evidence, and snapshot metadata; omit redundant identifiers, repeated post context, row hashes, and incomparable reaction scores.

README.md

@@ -1,73 +1,87 @@
----
-pretty_name: Community Data
-license: other
----
-
-# Community Data
-
-An ordinary, source-attributed collection of public community threads, posts, and open technical documents. The tables contain source text with source IDs, links, timestamps, authors where available, and row-level license information.
-
-Release: **v0.11.3**  
-Rows: **662,444 threads** and **2,300,093 posts**.
-
-## Included sources
-
-- `apache_jira`: 95,616 threads; 364,959 posts
-- `arxiv`: 100 threads; 100 posts
-- `github`: 547,039 threads; 1,883,767 posts
-- `gitlab`: 1,743 threads; 1,489 posts
-- `python_pep`: 425 threads; 28 posts
-- `stackexchange`: 17,521 threads; 49,750 posts
-
-The source_platform, source_kind, and repository columns preserve the source type and project or collection. Standalone technical documents retain one thread row; a source-text root post is included when it passes the provenance and safety checks. ArXiv full-text sections are joined into one post where available, otherwise the post contains the abstract. Safety-held documents can remain as thread rows without a post; no synthetic discussion posts or section rows are created.
-
-## Files
-
-- `data/threads/train.parquet`: one canonical row per source thread.
-- `data/posts/train.parquet`: one row per question, answer, issue body, comment, or discussion post retained from a source thread.
-- `manifest.json`: exact row counts, file hashes, source counts, input snapshots, deduplication rules, and publication exclusions.
-
-This is a plain text dataset. It contains no retrieval chunks, embeddings, or task-specific ranking/preference labels.
-
-## Load the tables
-
-```python
-from huggingface_hub import hf_hub_download
-import pyarrow.parquet as pq
-
-threads_path = hf_hub_download(
-    repo_id="aluha501/community-data",
-    repo_type="dataset",
-    filename="data/threads/train.parquet",
-)
-threads = pq.read_table(threads_path).to_pandas()
-
-posts_path = hf_hub_download(
-    repo_id="aluha501/community-data",
-    repo_type="dataset",
-    filename="data/posts/train.parquet",
-)
-posts = pq.read_table(posts_path).to_pandas()
-```
-
-## Schema
-
-### Threads
-
-`thread_uid` is the stable dataset-wide ID. `source_thread_uid` and `thread_id` retain the source ID; `source_platform`, `source_instance`, `source_kind`, and `repository` identify where it came from. `title`, `body`, and `tags` contain the source text and tags. `source_url`, `author_name`, `author_url`, `created_at`, and `updated_at` retain source metadata. `license` and `license_evidence_url` describe the applicable source contribution license. `provenance_status`, `content_hash`, `source_snapshot_at`, and `source_version` record provenance and snapshot details.
-
-### Posts
-
-`post_uid` is the stable dataset-wide ID and `source_post_uid` is the source-side ID. `thread_uid` joins a post to its thread; `parent_post_id` identifies its parent where the source provides one. `post_role` distinguishes questions, answers, issues, pull requests, discussions, comments, and other source roles. `body`, timestamps, author and URL fields retain post-level data; `thread_source_url` provides the source thread link when a source does not expose a direct link for an individual post. `accepted` is populated where a source has an accepted-answer signal; it is null where that concept does not apply. `reaction_count` contains the source score or reaction count when available. `license` and `license_evidence_url` are per-post.
-
-## Attribution and licenses
-
-This is a mixed-source dataset, so **there is no single license for the whole collection**. Each text row carries its source license, source URL, author attribution when available, and license_evidence_url. Follow the license on every row you use and preserve its attribution requirements. Stack Exchange licenses are taken from the API's per-post content_license field; the corresponding post timeline is linked for license evidence. ASF Jira rows use the [ASF contribution policy](https://www.apache.org/foundation/how-it-works/legal.html) and [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0). Python PEPs follow the [PEP 1 copyright policy](https://peps.python.org/pep-0001/#copyright-license) and link to their source documents. ArXiv rows retain the per-paper CC-BY or CC0 license reported by arXiv metadata; see [arXiv license information](https://info.arxiv.org/help/license/index.html).
-
-## Scope and exclusions
-
-The corpus merges exact source IDs across normalized snapshots. Posts without text are omitted; a thread whose source item has a title but no body remains available in the threads table. Exact duplicates are resolved using the latest source update timestamp, with later snapshots breaking timestamp ties. Near-duplicate text is not removed. The included data is a snapshot, not a live feed.
-
-The v0.2.0 Stack Exchange baseline is represented where the later API snapshots retained verifiable source metadata: 3,267/3,409 question IDs and 8,344/8,677 answer IDs. The remaining 142 questions and 333 answers are omitted because 139 question threads lack verifiable API attribution and 3 threads are held by the safety filter.
-
-Discourse records remain excluded because text redistribution permission was not verified. Hugging Face Hub discussions are not included because the local crawl package is absent and the applicable discussion-content redistribution terms have not been established. Architecture records from GitHub issue and pull request pages are held out where their text license cannot be verified. Rows without an eligible source license/attribution or rows held by the existing safety filter are excluded; the counts are in manifest.json.
+---
+pretty_name: Tech Threads
+license: other
+size_categories:
+- other
+tags:
+- community-data
+- technical-discussions
+configs:
+- config_name: threads
+  data_files:
+  - split: train
+    path: data/threads/train.parquet
+  default: true
+- config_name: posts
+  data_files:
+  - split: train
+    path: data/posts/train.parquet
+---
+
+# Tech Threads
+
+A plain, multi-source dataset of technical community discussions and engineering documents. It stores source threads and their posts as two linked Parquet tables, without retrieval chunks or generated training examples.
+
+**Release:** v0.11.8 · **Snapshot assembled:** 2026-10-01  
+**Size:** 743,453 threads and 2,580,340 posts
+
+## Sources
+
+| Source family | Threads | Posts |
+|---|---:|---:|
+| apache_jira | 95,616 | 364,959 |
+| arxiv | 100 | 100 |
+| github | 628,048 | 2,164,014 |
+| gitlab | 1,743 | 1,489 |
+| python_pep | 425 | 28 |
+| stackexchange | 17,521 | 49,750 |
+| **Total** | **743,453** | **2,580,340** |
+
+The source families are GitHub, Apache Jira, Stack Exchange, GitLab, Python PEPs, and arXiv. Records include questions and answers, issues and comments, pull requests, discussions, PEPs, and research papers. The source_platform, source_instance, source_kind, and repository fields identify the source and its content type.
+
+## Files and loading
+
+The dataset has two independent table configurations:
+
+- threads: one canonical row per retained source thread or document.
+- posts: one retained post or document-text row, linked to its thread by thread_uid.
+- manifest.json: release counts, file hashes, source snapshots, schema, deduplication rules, audits, and exclusions.
+
+Load either table directly:
+
+~~~python
+from datasets import load_dataset
+
+threads = load_dataset("aluha501/tech-threads", "threads", split="train")
+posts = load_dataset("aluha501/tech-threads", "posts", split="train")
+~~~
+
+The source instance and project/repository for a post are inherited from its parent thread. Join posts.thread_uid to threads.thread_uid when you need that context.
+
+## Schema
+
+### Threads
+
+Fields: thread_uid, thread_id, source_platform, source_instance, source_kind, repository, title, body, tags, created_at, updated_at, source_url, author_name, author_url, license, license_evidence_url, source_snapshot_at, source_version.
+
+thread_uid is the stable dataset key used by posts. thread_id is the source identifier. source_snapshot_at and source_version identify the source snapshot and extraction version. Tags use a list of strings; timestamps are stored as source-derived strings.
+
+### Posts
+
+Fields: post_uid, thread_uid, post_id, parent_post_id, source_platform, source_kind, post_role, post_origin, body, created_at, updated_at, source_url, thread_source_url, author_name, author_url, accepted, license, license_evidence_url.
+
+post_uid is the stable post key. thread_uid links to the parent thread. post_id and parent_post_id retain source identifiers; parent_post_id is optional. post_role is a normalized source role, while source_kind retains the source content type. post_origin records the source actor category when available, such as human, maintainer, bot, community_user, or unknown. accepted is a source-provided accepted-answer signal and is null when that concept does not apply. Other fields are null when the source does not provide a value.
+
+## Attribution and licenses
+
+There is no single license for the complete dataset, so the Hub metadata is set to other. Each row retains a license label and evidence URL from the source checks used by the collection pipeline. Preserve attribution and follow the terms that apply to each record.
+
+The license fields document provenance; they are not a legal ruling that every user-authored contribution has been independently relicensed. A project-level license or policy may not settle the rights for each issue, answer, pull request, or comment. Check the original source and its current terms before redistributing or using individual records. Author names and profile URLs are retained when available.
+
+## Preparation and limitations
+
+Exact source records are deduplicated using source identifiers. The latest source update wins; a later normalized snapshot breaks timestamp ties. Near-duplicate text is not removed. Posts without text or without a retained parent thread are excluded. Standalone documents remain a single thread; a source-text post is included only when available and eligible. No synthetic discussion posts or labels are added.
+
+Repeated source identifiers and parent-derived project metadata are stored once where possible. Platform-specific reaction scores are omitted because their meanings differ across sources; file hashes and the provenance gate are recorded in manifest.json.
+
+This is a point-in-time dataset, not a live feed or benchmark. It contains no retrieval chunks, embeddings, generated question-answer pairs, preference labels, or task-specific ranking views. Sources without an established text redistribution basis and records held by safety/provenance checks are excluded; detailed counts are in manifest.json. The manifest also records the Stack Exchange baseline items omitted because attribution could not be verified or a safety hold applied.

data/posts/train.parquet

@@ -1,3 +1,3 @@
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-size 1003014882
+oid sha256:c3a8073073d03c6cfdd6e444215693279246dc9a05db86b1d0cac9a8db81ee00
+size 999675868

data/threads/train.parquet

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+oid sha256:1554ed9340f432591dad4dc36a76fce44b84290d536a53312c9aab83f35e184c
+size 519191323

manifest.json

@@ -1,646 +1,860 @@
-{
-  "artifact_type": "community_qa_lab_plain_thread_post_corpus",
-  "created_at_utc": "2026-09-30T10:57:42.369408+00:00",
-  "dataset_id": "aluha501/community-data",
-  "dataset_version": "v0.11.3",
-  "deduplication": {
-    "near_duplicate_removal": false,
-    "post_key": "source_platform + repository + post_uid (fallback post_id)",
-    "thread_key": "source_platform + repository + thread_uid (fallback thread_id)",
-    "winner": "latest updated_at; later normalized snapshot breaks timestamp ties"
-  },
-  "description": "Plain, source-attributed community threads, posts, and open technical documents.",
-  "dropped_rows": {
-    "posts_empty_text": 12913,
-    "posts_parent_thread_not_included": 16499,
-    "posts_safety_or_provenance": 49086,
-    "threads_safety_or_provenance": 5716
-  },
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-    "posts:apache_jira:issue": 95616,
-    "posts:arxiv:paper": 100,
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-    "posts:stackexchange:stackexchange_question": 20003,
-    "threads:apache_jira:issue": 95616,
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-    "threads:python_pep:pep": 425,
-    "threads:stackexchange:stackexchange_question": 20003
-  },
-  "excluded_sources": [
-    {
-      "reason": "metadata_only; forum-specific text redistribution permission was not verified",
-      "snapshot": "v0.7.0-discourse"
-    },
-    {
-      "reason": "not collected locally; public API availability does not establish a downstream redistribution license for Community Tab text",
-      "snapshot": "huggingface-hub-discussions"
-    },
-    {
-      "reason": "user-generated issue/PR text is not included without a verified downstream redistribution license",
-      "snapshot": "architecture-rfcs-github-issues-and-pulls"
-    },
-    {
-      "reason": "current GitHub repository license API returned NOASSERTION; no per-file license evidence was stored",
-      "snapshot": "architecture-rfcs-pytorch-blob-files"
-    }
-  ],
-  "files": {
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-      "path": "data/posts/train.parquet",
-      "rows": 2300093,
-      "sha256": "c5978878d31e563a2093ef8f5bf82a427145e7186ec898ecdec3f0add8bbea26"
-    },
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-      "sha256": "f6148b776958ae0f139df6145b6e1b60817fbbdc5f2b99163ce793cf21c6c0fa"
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-  "input_snapshots": [
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+          "type": "list<element: string>"
+        },
+        {
+          "name": "created_at",
+          "type": "string"
+        },
+        {
+          "name": "updated_at",
+          "type": "string"
+        },
+        {
+          "name": "source_url",
+          "type": "string"
+        },
+        {
+          "name": "author_name",
+          "type": "string"
+        },
+        {
+          "name": "author_url",
+          "type": "string"
+        },
+        {
+          "name": "license",
+          "type": "string"
+        },
+        {
+          "name": "license_evidence_url",
+          "type": "string"
+        },
+        {
+          "name": "source_snapshot_at",
+          "type": "string"
+        },
+        {
+          "name": "source_version",
+          "type": "string"
+        }
+      ]
+    }
+  },
+  "schema_version": 2,
+  "scope": {
+    "data_shape": "normalized thread and post tables",
+    "embeddings": false,
+    "near_duplicate_removal": false,
+    "retrieval_chunks": false,
+    "task_specific_views": false
+  },
+  "source_counts": {
+    "posts:apache_jira:comment": 308124,
+    "posts:apache_jira:issue": 95938,
+    "posts:arxiv:paper": 100,
+    "posts:github:github_discussion": 295176,
+    "posts:github:github_issue": 1928027,
+    "posts:github:github_pull_request": 14993,
+    "posts:gitlab:gitlab_issue": 1440,
+    "posts:gitlab:gitlab_merge_request": 750,
+    "posts:python_pep:pep": 426,
+    "posts:stackexchange:stackexchange_answer": 38433,
+    "posts:stackexchange:stackexchange_question": 20079,
+    "threads:apache_jira:issue": 95938,
+    "threads:arxiv:paper": 100,
+    "threads:github:github_discussion": 89208,
+    "threads:github:github_issue": 550273,
+    "threads:github:github_pull_request": 5483,
+    "threads:gitlab:gitlab_issue": 1440,
+    "threads:gitlab:gitlab_merge_request": 750,
+    "threads:python_pep:pep": 426,
+    "threads:stackexchange:stackexchange_question": 20079
+  },
+  "source_license_policy": {
+    "collection_license": "mixed; no single license applies to the complete dataset",
+    "redistribution_gate": "source license/attribution must be present and provenance_status must be redistributable_with_attribution; source-specific exclusions are listed in excluded_sources",
+    "row_level_fields": [
+      "license",
+      "license_evidence_url",
+      "source_url",
+      "author_name",
+      "author_url"
+    ],
+    "stackexchange_license_source": "API per-post content_license field; post timeline evidence URL retained",
+    "supplemental_source_evidence": {
+      "apache_jira": {
+        "basis": "ASF-managed issue-tracker communications intended to discuss or improve ASF work, subject to the ASF contribution policy; explicitly marked not-a-contribution comments are excluded",
+        "evidence_url": "https://www.apache.org/foundation/how-it-works/legal.html",
+        "license": "Apache-2.0"
+      },
+      "arxiv": {
+        "basis": "the per-paper arXiv OAI-PMH license field; source paper URLs are retained",
+        "evidence_url": "https://info.arxiv.org/help/license/index.html",
+        "licenses": [
+          "CC-BY-4.0",
+          "CC0-1.0"
+        ]
+      },
+      "python_pep": {
+        "basis": "PEP 1 requires each new PEP to use the public-domain and CC0 dual-license; per-document source URLs are retained",
+        "evidence_url": "https://peps.python.org/pep-0001/#copyright-license",
+        "license": "CC0-1.0"
+      }
+    }
+  },
+  "source_reconstruction_exclusions": {
+    "stackexchange-v0.4.0": {
+      "missing_question_attribution": 175
+    },
+    "stackexchange-v0.5.0": {
+      "missing_question_attribution": 50
+    },
+    "stackexchange-v0.6.0-expanded": {
+      "missing_question_attribution": 523
+    },
+    "stackexchange-v0.7.0-stackexchange-expansion": {
+      "missing_question_attribution": 161
+    }
+  },
+  "splits": {
+    "posts": "train only",
+    "threads": "train only"
+  },
+  "status": "ready_to_publish"
+}