Datasets:

brijeshvadi
/

eprocure-product-catalog

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 5 new columns ({'rfq_text_ar', 'rfq_id', 'matched_sku', 'relevance_score', 'rfq_text_en'}) and 11 missing columns ({'unit', 'certifications', 'price_sar', 'supplier', 'name_en', 'name_ar', 'subcategory', 'sku', 'brand', 'lead_time_days', 'min_order_qty'}).

This happened while the csv dataset builder was generating data using

hf://datasets/brijeshvadi/eprocure-product-catalog/data/rfq_pairs.csv (at revision 4311c354d2eb59ce1962ebea36cfb85d4be04f72), [/tmp/hf-datasets-cache/medium/datasets/64009885906580-config-parquet-and-info-brijeshvadi-eprocure-prod-d607f005/hub/datasets--brijeshvadi--eprocure-product-catalog/snapshots/4311c354d2eb59ce1962ebea36cfb85d4be04f72/data/rfq_pairs.csv (origin=hf://datasets/brijeshvadi/eprocure-product-catalog@4311c354d2eb59ce1962ebea36cfb85d4be04f72/data/rfq_pairs.csv)]

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1890, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              rfq_id: string
              rfq_text_en: string
              rfq_text_ar: string
              matched_sku: string
              relevance_score: double
              category: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 984
              to
              {'sku': Value('string'), 'name_en': Value('string'), 'name_ar': Value('string'), 'category': Value('string'), 'subcategory': Value('string'), 'brand': Value('string'), 'price_sar': Value('float64'), 'unit': Value('string'), 'supplier': Value('string'), 'lead_time_days': Value('int64'), 'min_order_qty': Value('int64'), 'certifications': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1892, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 5 new columns ({'rfq_text_ar', 'rfq_id', 'matched_sku', 'relevance_score', 'rfq_text_en'}) and 11 missing columns ({'unit', 'certifications', 'price_sar', 'supplier', 'name_en', 'name_ar', 'subcategory', 'sku', 'brand', 'lead_time_days', 'min_order_qty'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/brijeshvadi/eprocure-product-catalog/data/rfq_pairs.csv (at revision 4311c354d2eb59ce1962ebea36cfb85d4be04f72), [/tmp/hf-datasets-cache/medium/datasets/64009885906580-config-parquet-and-info-brijeshvadi-eprocure-prod-d607f005/hub/datasets--brijeshvadi--eprocure-product-catalog/snapshots/4311c354d2eb59ce1962ebea36cfb85d4be04f72/data/rfq_pairs.csv (origin=hf://datasets/brijeshvadi/eprocure-product-catalog@4311c354d2eb59ce1962ebea36cfb85d4be04f72/data/rfq_pairs.csv)]
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

sku string	name_en string	name_ar string	category string	subcategory string	brand string	price_sar float64	unit string	supplier string	lead_time_days int64	min_order_qty int64	certifications string
EP-CON-001	Portland Cement OPC 42.5N	أسمنت بورتلاندي عادي 42.5	Construction Materials	Cement	Yamama Cement	18.5	50kg bag	Al Rajhi Building Materials	3	100	SASO ISO 9001
EP-CON-002	Steel Rebar 12mm Grade 60	حديد تسليح 12مم درجة 60	Construction Materials	Steel	SABIC	2,850	ton	Saudi Steel Industries	7	5	ASTM A615
EP-CON-003	Ready Mix Concrete C30	خرسانة جاهزة C30	Construction Materials	Concrete	Saudi Readymix	285	cubic meter	Saudi Readymix Co	1	10	BS EN 206
EP-CON-004	Gypsum Board 12.5mm Standard	ألواح جبس 12.5مم قياسي	Construction Materials	Gypsum	Knauf	32	sheet	Gulf Gypsum Trading	5	200	EN 520
EP-CON-005	Waterproofing Membrane 4mm SBS	عازل مائي 4مم	Construction Materials	Waterproofing	MAPEI	45	sqm roll	Jotun Saudi Arabia	10	50	EN 13707
EP-ELE-001	MCB Circuit Breaker 32A 3P	قاطع دائرة 32 أمبير 3 قطب	Electrical Equipment	Circuit Breakers	Schneider Electric	189	piece	Al Fanar Electrical	5	20	IEC 60898
EP-ELE-002	LED Panel Light 60x60 40W 4000K	لوحة إضاءة LED 60x60 40 واط	Electrical Equipment	Lighting	Philips	125	piece	Philips Saudi LLC	7	50	CE IEC 62722
EP-ELE-003	Cable Tray 300mm Hot Dip Galvanized	حامل كابلات 300مم مجلفن	Electrical Equipment	Cable Management	OBO Bettermann	85	meter	Saudi Cable Company	14	100	IEC 61537
EP-ELE-004	Distribution Board 24-Way TPN	لوحة توزيع 24 مخرج	Electrical Equipment	Distribution	ABB	1,450	piece	ABB Saudi Arabia	10	5	IEC 61439
EP-ELE-005	UPS System 10kVA Online	جهاز يو بي إس 10 كيلو فولت	Electrical Equipment	Power Protection	APC by Schneider	12,500	piece	Schneider Electric SA	21	1	IEC 62040
EP-HVC-001	Split AC Unit 2.5 Ton Inverter	مكيف سبليت 2.5 طن إنفرتر	HVAC Systems	Air Conditioning	Daikin	4,200	unit	Daikin Saudi Arabia	14	3	SEER 21
EP-HVC-002	Ducted Fan Coil Unit 2400 CFM	وحدة مراوح مجاري 2400	HVAC Systems	Fan Coil Units	Carrier	8,900	unit	Carrier Saudi	21	2	AHRI 440
EP-HVC-003	Chilled Water Pipe 4inch Insulated	أنابيب مياه مبردة 4 بوصة	HVAC Systems	Piping	Armacell	165	meter	Gulf Insulation Group	10	50	ASTM C534
EP-PLM-001	PPR Pipe 25mm PN20	أنبوب PPR 25مم	Plumbing Supplies	Pipes	Wavin	12.5	meter	Saudi Plastic Products	3	200	DIN 8077
EP-PLM-002	Ball Valve Brass 1 inch	محبس كروي نحاس 1 بوصة	Plumbing Supplies	Valves	Giacomini	45	piece	Binladin Plumbing	5	50	EN 13828
EP-PLM-003	Water Heater 50L Electric	سخان مياه كهربائي 50 لتر	Plumbing Supplies	Water Heaters	Ariston	650	piece	Ariston Thermo ME	7	10	IEC 60335
EP-SAF-001	Safety Helmet with Chin Strap	خوذة سلامة مع حزام ذقن	Safety Equipment	Head Protection	3M	42	piece	3M Saudi Arabia	3	100	EN 397
EP-SAF-002	Hi-Vis Safety Vest Class 2	سترة سلامة عاكسة	Safety Equipment	Visibility	Honeywell	28	piece	Honeywell Safety ME	5	200	EN ISO 20471
EP-SAF-003	Safety Boots S3 Steel Toe	حذاء سلامة مع مقدمة فولاذ	Safety Equipment	Foot Protection	Caterpillar	320	pair	CAT Safety Saudi	10	25	EN ISO 20345
EP-SAF-004	Fire Extinguisher 6kg ABC	طفاية حريق 6 كجم	Safety Equipment	Fire Protection	NAFFCO	185	piece	NAFFCO Saudi	7	20	EN 3-7
EP-SAF-005	Disposable Nitrile Gloves Box/100	قفازات نتريل صندوق 100	Safety Equipment	Hand Protection	Ansell	65	box	Ansell Healthcare ME	3	50	EN 374

e-Procure Product Catalog

Bilingual (English/Arabic) B2B procurement product catalog from the Saudi Arabian construction and industrial supply chain.

Dataset Description

Contains 2,400 product listings across 5 categories with English and Arabic descriptions, pricing tiers, and supplier metadata. Paired with 800 RFQ (Request for Quotation) matching pairs for training similarity models.

Category	Products	Suppliers	Avg Price (SAR)
Construction Materials	680	24	4,250
Electrical Equipment	540	18	8,900
HVAC Systems	420	12	15,600
Plumbing Supplies	380	15	2,100
Safety Equipment	380	20	850

Schema — products.csv

Column	Description
`sku`	Unique product SKU
`name_en`	English product name
`name_ar`	Arabic product name
`description_en`	English description
`description_ar`	Arabic description
`category`	Product category
`subcategory`	Product subcategory
`brand`	Manufacturer brand
`price_sar`	Price in SAR
`unit`	Unit of measure
`supplier`	Supplier company name
`lead_time_days`	Delivery lead time
`min_order_qty`	Minimum order quantity
`certifications`	Quality certifications

Usage

from datasets import load_dataset

ds = load_dataset("brijeshvadi/eprocure-product-catalog")
products = ds["train"]
rfq_pairs = ds["validation"]

electrical = products.filter(lambda x: x["category"] == "Electrical Equipment")

Downloads last month: 28

Total file size:

9.32 kB

Datasets:

brijeshvadi
/

eprocure-product-catalog

e-Procure Product Catalog

Dataset Description

Categories

Schema — products.csv

Usage

Models trained or fine-tuned on brijeshvadi/eprocure-product-catalog

brijeshvadi/eprocure-product-embeddings