Technical community text · Ace Data Cloud

Hacker News Posts & CommentsTechnical discussions in context

Technology, startup and AI discussions with post-to-comment relationships for retrieval and conversation research.

Negotiated pricing · Preview first, then confirm version and scope

About 1.77M posts / 41.87M commentsRegistered scale / confirm version
About 22 GBRegistered size / confirm scope
Limited actual excerptsCurrent public preview

Understand the data

Start with the data unit, selection criteria and available samples to assess project fit.

01

Content organization

Posts, timestamps, scores and linked comment IDs form the basic unit. Build topic indexes or stratify discussions by year and engagement. Confirm comment-body availability for the selected delivery version.

02

Scope selection

Posts have at least one comment; Select by year, comment count and topic

03

Preview and version

10 preview records · 0 image excerpts · dictionary and README. Confirm the full delivery version before ordering.

Preview before evaluating

Use limited excerpts to inspect content and structure. The README identifies provenance, field projections and preview limits.

idtitletimescore
65147Ten Questions with PostSecret's Frank Warren2007-10-09 05:30:413.0
707174What does the Turing test really mean? And how many human beings could pass? 2009-07-16 03:36:122.0
2288071Oscar Night in Hollywood (By Raymond Chandler, March 1948)2011-03-04 14:26:492.0
Expand preview record 01
id
65147
title
Ten Questions with PostSecret's Frank Warren
time
2007-10-09 05:30:41
score
3.0
direct_comment_count
1
reply_count
0
comments
[39945979]
Expand preview record 02
id
707174
title
What does the Turing test really mean? And how many human beings could pass?
time
2009-07-16 03:36:12
score
2.0
direct_comment_count
1
reply_count
0
comments
[31728528]
Expand preview record 03
id
2288071
title
Oscar Night in Hollywood (By Raymond Chandler, March 1948)
time
2011-03-04 14:26:49
score
2.0
direct_comment_count
1
reply_count
0
comments
[35476583]

Take a small sample kit

10 preview records · 0 image excerpts · dictionary and README

ZIP · 4.2 KB · Includes Chinese and English README

Download sample kit

Fields and structure

Verified and requested fields are identified in the kit; exact structure depends on the confirmed delivery version.

Field / contentTypeDescription
idCSV string原始记录标识符。 CSV 保留原始文本值。
deletedCSV string原始删除状态标记。 CSV 保留原始文本值。
typeCSV string原始内容类型。 CSV 保留原始文本值。
byCSV string内容发布者的公开用户名。 CSV 保留原始文本值。
timeCSV string内容的时间字段,保留 CSV 原始文本。 CSV 保留原始文本值。
textCSV string帖子正文,可能为空或含 HTML 转义。 CSV 保留原始文本值。
deadCSV string原始内容失效状态标记。 CSV 保留原始文本值。
parentCSV string父级内容关联 ID。 CSV 保留原始文本值。

8 fields shown; all 21 references are in schema-reference.json. Refer to the README for native fields versus preview projections.

Where it fits

Evaluate task relevance and confirm samples and usage rights before delivery.

01

Linked post/comment retrieval

Index topics, titles and text while retaining comment relationships.

02

Technical discussion analysis

Stratify by time and engagement to examine topic and discussion structure.

03

Topic and temporal analysis

Check text coverage, reply depth and filtering before defining an evaluation subset.

From preview to delivery

Pricing is negotiated around your confirmed delivery scope.

01

Inspect the preview

Download the kit and check content, fields and limitations.

02

Confirm scope and rights

Share your topic, version, time range, use and format requirements.

03

Agree on price and delivery

Review samples, quality, delivery contents and negotiated price.

Frequently asked questions

Clarify preview scope, scale and permissions before delivery.

Does the kit contain the full dataset?

10 preview records · 0 image excerpts · dictionary and README. The public kit is for preview evaluation. Full data requires a confirmed version and delivery list.

Why does catalog scale differ from preview count?

Catalog scale comes from registered sources or official specifications. Public kits contain limited excerpts or references. Verify actual deliverable scale for your selected scope.

Can I use it for training or commercial projects?

Confirm the selected version’s license, provenance and permitted uses. Catalog listing and preview access do not grant training, commercial-use or redistribution rights to the full data.

Evaluation and acceptance checks

Check the actual samples before selecting a batch. These are suggested acceptance criteria, not quality guarantees for the full corpus.

01

Post/comment ID linkage coverage

Ask for verifiable examples or counting rules for your selected version and use.

02

Missing timestamps, scores and comment counts

Ask for verifiable examples or counting rules for your selected version and use.

03

Title/body deduplication and link-versus-text posts

Ask for verifiable examples or counting rules for your selected version and use.

Find the right scope for your project

Start with samples and fields, then share your topic, format and intended use. Confirm available versions, delivery contents and negotiated pricing with sales.

Contact sales · Negotiated pricing