Datasets:

sosa123454321
/

atovika-waste-tr

id string	city_fa string	city_en string	country string	tonnes_per_day int64	amount_fa string	note_fa string	figure_type string	sources list	retrieved timestamp[s]
tehran	تهران	Tehran	IR	8,000	حدود ۸٬۰۰۰ تن در روز	حدود ۴۰٪ پسماند خشک است. تفکیک از مبدأ با سامانهٔ «نوماند» شهرداری در حال گسترش است.	reported (municipal official, press or peer-reviewed study)	[ { "label": "جوان‌آنلاین، ۱۴ شهریور ۱۴۰۵ — مدیرعامل سازمان مدیریت پسماند شهرداری تهران", "url": "https://www.javanonline.ir/fa/news/1377838/%D9%85%D8%B3%DB%8C%D8%B1-%D8%AA%D8%A7%D8%B2%D9%87-%D8%AA%D9%87%D8%B1%D8%A7%D9%86-%D8%AF%D8%B1%D9%85%D8%AF%DB%8C%D8%B1%DB%8C%D8%AA-8-%D9%87%D8%B2%D8%A7%D8%B1-%D8%AA%D9%86...	2026-10-17T00:00:00
mashhad	مشهد	Mashhad	IR	2,200	حدود ۲٬۲۰۰ تن در روز	سرانهٔ هر شهروند حدود ۵۸۰ گرم در روز. فقط حدود ۲۰٪ پسماند خانگی خشک و قابل بازیافت است.	reported (municipal official, press or peer-reviewed study)	[ { "label": "قدس‌آنلاین، ۲۸ مرداد ۱۴۰۵ — مدیرعامل سازمان مدیریت پسماند مشهد", "url": "https://www.qudsonline.ir/news/1161860/%D8%B2%D8%A8%D8%A7%D9%84%D9%87-%DA%AF%D8%B1%D8%AF%D9%87%D8%A7-%D8%A2%D8%B3%DB%8C%D8%A8-%D8%B4%D9%87%D8%B1%DB%8C-%D9%87%D8%B3%D8%AA%D9%86%D8%AF-%D9%86%D9%87-%D9%85%D8%B3%D8%AA%D8%AD%D9%...	2026-10-17T00:00:00
isfahan	اصفهان	Isfahan	IR	3,000	حدود ۳٬۰۰۰ تن در روز	به گفتهٔ شهرداری، خط پردازش کنونی پاسخگوی این حجم نیست.	reported (municipal official, press or peer-reviewed study)	[ { "label": "خبرگزاری مهر، آذر ۱۴۰۳ — معاون محیط‌زیست و خدمات شهری شهرداری اصفهان", "url": "https://www.mehrnews.com/news/6319454/%D8%B1%D9%88%D8%B2%D8%A7%D9%86%D9%87-%DB%B3-%D9%87%D8%B2%D8%A7%D8%B1-%D8%AA%D9%86-%D8%B2%D8%A8%D8%A7%D9%84%D9%87-%D8%AF%D8%B1-%D8%B4%D9%87%D8%B1-%D8%A7%D8%B5%D9%81%D9%87%D8%A7%D9%...	2026-10-17T00:00:00
shiraz	شیراز	Shiraz	IR	1,024	حدود ۱٬۰۲۴ تن پسماند خانگی در روز	تا ۶۶٫۳٪ آن پسماند آلی و غذایی است.	reported (municipal official, press or peer-reviewed study)	[ { "label": "مقالهٔ علمی Jalalipour و همکاران در Waste Management & Research، ۲۰۲۵", "url": "https://doi.org/10.1177/0734242x241227377" } ]	2026-10-17T00:00:00
tabriz	تبریز	Tabriz	IR	1,000	به‌طور متوسط حدود ۱٬۰۰۰ تن در روز	شهرداری برای دفن و پردازش، طرح‌های تازه در دست اجرا دارد.	reported (municipal official, press or peer-reviewed study)	[ { "label": "باشگاه خبرنگاران جوان، فروردین ۱۴۰۳ — حذف باکس‌های زباله در تبریز", "url": "https://www.yjc.ir/fa/news/8712613/%D8%AD%D8%B0%D9%81-%D8%A8%D8%A7%DA%A9%D8%B3-%D9%87%D8%A7%DB%8C-%D8%AC%D9%85%D8%B9-%D8%A2%D9%88%D8%B1%DB%8C-%D8%B2%D8%A8%D8%A7%D9%84%D9%87-%D8%A7%D8%B2-%D9%85%D8%B9%D8%A7%D8%A8%D8%B1-%D8...	2026-10-17T00:00:00
karaj	کرج	Karaj	IR	800	حدود ۸۰۰ تن در روز (سهم شهر کرج)	مرکز دفن حلقه‌دره روزانه حدود ۱٬۸۰۰ تن از کل استان البرز می‌گیرد.	reported (municipal official, press or peer-reviewed study)	[ { "label": "همشهری‌آنلاین، مهر ۱۴۰۵ — مرکز دفن حلقه‌دره", "url": "https://www.hamshahrionline.ir/photo/1075726/%D8%AE%D8%A7%D9%86%D9%87-%D8%A2%D8%AE%D8%B1-%D8%B2%D8%A8%D8%A7%D9%84%D9%87-%D9%87%D8%A7%DB%8C-%DA%A9%D8%B1%D8%AC-%D8%AA%D8%B5%D8%A7%D9%88%DB%8C%D8%B1-%D8%AF%D9%81%D9%86-%D8%B1%D9%88%D8%B2%D8%A7%D9%...	2026-10-17T00:00:00
rasht	رشت	Rasht	IR	800	حدود ۸۰۰ تن در روز	بیش از ۷۵٪ آن پسماند آلی است (دادهٔ ۲۰۱۸).	reported (municipal official, press or peer-reviewed study)	[ { "label": "مقالهٔ علمی در Caspian Journal of Environmental Sciences (دادهٔ ۲۰۱۸)", "url": "https://cjes.guilan.ac.ir/article_4506_8c7cb325cb132b6bb1efeb0a7d57e7f3.pdf" } ]	2026-10-17T00:00:00

Atikova — Türkiye waste management intelligence

Sourced indicators on Türkiye's municipal waste system, the intervention roadmap that answers it, and the auto-published news feed. Maintained by the Atikova platform (https://atikova.com).

Files

File	Contents
`waste_stats_tr.json`	Headline waste indicators with publisher, year and source URL for every figure
`news_trends_tr.json`	Auto-published news items with bilingual summaries, category and tags
`sources.json`	Full reference list

Method

Every statistic is stored with the exact source it came from; nothing is asserted without a citation. News items are read from public RSS feeds, summarised by a language model, classified into a section of the site, and published automatically. Summaries are machine generated — follow the url field for the original reporting.

Knowledge graph for KAG (`kag/`)

100 sources · 491 entities · 542 evidenced facts (graph version 2026-10-14)

A knowledge graph over 100 checked sources on waste, food/organic waste, landfills, methane and climate policy in Türkiye and COP31 (Antalya, 9–20 November 2026): Turkish regulations from the Resmî Gazete (Zero Waste, Waste Management, Packaging, Landfill, Climate Law 7552, Environment Law 2872), Türkiye's NDCs and 2053 strategy, EU directives, UNEP / World Bank / UN reports, the COP31 sites, the site's own 10 references, and 58 peer-reviewed papers (DOI) from the Atikova research radar.

File	One row per	Key fields
`kag/sources.jsonl`	source	id, publisher, title, url, doi, year, kind, status (HTTP code when checked), checkedAt
`kag/entities.jsonl`	entity	id, name, type, aliases (Turkish ↔ English), sources, degree
`kag/relations.jsonl`	fact	head, relation, tail, value, evidence (verbatim quote), source_id, chunk_id
`kag/chunks.jsonl`	text chunk	id, source_id, text — the exact text the facts were extracted from
`kag/schema.json`	—	entity and relation types, extraction model, drop statistics

Schema. Entity types: Organization, Regulation, Programme, Place, WasteStream, Technology, Metric, Event, Product, Source. Relations: issued_by, regulates, applies_to, located_in, treats, produces, measures, targets, reports_value, part_of, mentions (Source → entity).

How it was built. Each source URL was fetched and its HTTP status stored; papers were checked by DOI resolution. Text chunks were selected by topic keywords and passed to @cf/qwen/qwen3-30b-a3b-fp8 on Cloudflare Workers AI (temperature 0) with a fixed schema. A fact is kept only if (1) its evidence quote is found verbatim in the chunk, (2) both ends are named entities, and (3) the head and tail types fit the relation (pairs that fit only reversed were flipped). Entities are merged by normalised name and a curated Turkish ↔ English alias list. Machine-extracted: read the evidence and the source before relying on a fact.

Use it live. GET https://atikova.com/api/kag/graph (explorer) · POST https://atikova.com/api/kag/query ({"question": "..."}) · Space: https://huggingface.co/spaces/sosa123454321/atikova-kag · site: https://atikova.com/knowledge

Iran (`iran/`) — added 2026-10-17

Public, sourced figures behind the Persian page https://ir.atikova.com (and its Bale assistant). Atikova has no operations in Iran; these are reported figures, not our measurements.

File	Contents
`iran/city_waste.jsonl`	7 cities (Tehran, Mashhad, Isfahan, Shiraz, Tabriz, Karaj, Rasht): reported municipal waste in tonnes/day, a note (dry/organic share), and every source URL
`iran/national_stats.jsonl`	4 national figures (organic share ≈70%, UNEP Food Waste Index 2021: 71 kg/capita/yr, urban 762 g/capita/day …) with source

The seven cities together report about 16,824 t/day. Figures come from different years and methods (municipal officials quoted in the press, 2018–2026, and peer-reviewed studies), so compare them with care. Text fields are in Persian.

The savings calculator on that page uses the Champions 12.3 hotels study: مطالعهٔ Champions 12.3 دربارهٔ صرفهٔ اقتصادی کاهش هدررفت غذا در هتل‌ها (WRI و WRAP، ۲۰۱۸) — https://champions123.org/sites/default/files/2020-08/business-case-reducing-food-loss-and-waste-hotels.pdf