docs/data_collection.md

Data collection: CodeMixCheck v2.2.1

This document describes how each batch in the v2.2.1 CSV was produced, based on the metadata stored in the CSV (batch, provenance, source_detail, register, noise_level, post_format, tone). Where the CSV does not record something, this document says so. Nothing has been filled in by assumption.

Batches

Counts below are taken from the full v2.2.1 CSV (7,602 rows), including the 348 records not included in this release.

batch	rows	tasks	provenance	register	id range
tang_pdf_facts	50	fact_verification 50	human_curated_llm_assisted	social_post	CMC-00001–CMC-00050
v1_1_claim_batch	294	fact_verification 294	human_curated_llm_assisted	social_post	CMC-00051–CMC-00344
set1	147	fact_verification 147	template_generated	social_post	CMC-00345–CMC-00491
set10_expansion	2414	fact_verification 2323, sentiment 47, abuse_detection 44	template_generated	conversational, social_post	CMC-00492–CMC-08041
set11_general_knowledge	200	fact_verification 200	template_generated	social_post	CMC-02819–CMC-03018
set2	240	fact_verification 240	template_generated	social_post	CMC-03019–CMC-03258
set3	238	fact_verification 238	template_generated	social_post	CMC-03259–CMC-03498
set4	199	fact_verification 199	template_generated	social_post	CMC-03499–CMC-03698
set7_conversational	391	fact_verification 391	template_generated	conversational	CMC-03699–CMC-04092
set9_expansion	3046	fact_verification 2922, sentiment 85, abuse_detection 39	template_generated	conversational, social_post	CMC-04093–CMC-08384
clean_paste_social	72	sentiment 72	human_collected	conversational	CMC-07025–CMC-07096
natural_collected	37	sentiment 37	human_collected	conversational	CMC-07097–CMC-07133
natural_collected_b2	107	sentiment 107	human_collected	conversational	CMC-07134–CMC-07240
natural_upload	125	sentiment 125	human_collected	conversational	CMC-07241–CMC-07365
set8_abuse	42	abuse_detection 42	template_generated	conversational	CMC-08042–CMC-08186

The id ranges overlap because IDs were assigned per batch across versions. 782 IDs between CMC-00001 and CMC-08384 are not used (they were retired in earlier versions).

Template-generated records (public)

The design visible in the metadata is as follows:

• Propositions (proposition): a claim core about a domain (11 domains: Civic/Local, Cricket, Economy, Education, Entertainment, Environment, Festivals/Culture, General Knowledge, Health, Policy/Governance, Technology). Entities are a mix of real Tamil Nadu districts and festivals, generic categories ("a local engineering college"), and fictional organisations, apps, films and sports teams. Some are marked "(fictional league)" in the text itself.
• Framing (frame_family): forwarded message, official attribution, personal hearsay, general report. Unparsed frames are tagged unparsed.
• Surface form: post_format (27 formats, for example caption_hashtag, group_chat, reply_skeptical, meme_reaction), tone, hashtags, emoji, @ placeholders, and multi-line posts.
• Noise (noise_level, set4 / set9 / set10 only): none, light, medium or heavy typing noise, such as vowel drops ("cnfirm", "sllunga"), casing changes and punctuation runs.
• Labels come from the generator, together with a templated evidence_explanation.
• set11_general_knowledge contains statements of general knowledge, explained against "established general knowledge".
• The sentiment and abuse rows in set9_expansion / set10_expansion / set8_abuse are short conversational comments with emoji and typo variants. Seven of them closely resemble human-collected comments and are not released (audit G06).

The dataset author wrote the templates and entity pools himself, using Claude and ChatGPT as writing helpers. The generation scripts, entity-pool versions and batch dates are not part of this release.

Curated records (test_curated, released)

• tang_pdf_facts (50): science and health facts (antibiotics, vaccines, Earth/Moon/Sun, boiling point), written as Tanglish statements. The batch name suggests a reference PDF as the source. The PDF is not identified in the CSV.
• v1_1_claim_batch (294): 144 health/lifestyle claims and 150 hearsay/rumour claims. source_detail = news_sourced_and_llm_assisted. No article references are stored.
• The dataset author selected these claims himself and rephrased them in his own Tanglish wording where needed. The texts are short generic claims, not article sentences (see data_provenance.md).

Human-collected records (not released)

• 341 comments in four batches. The dataset author states that they were collected manually from public Instagram posts.
• The CSV stores no post URLs, account names, capture dates, or record of consent or permission.
• It is not recorded whether each comment was copied verbatim or re-typed/paraphrased. The batch name clean_paste_social suggests verbatim copies. These comments are not part of the release.
• 15 comments end in ?/?? runs that may be emoji lost in an encoding step.