Standardize Electric Sheep Africa dataset card

README.md

@@ -5,141 +5,160 @@ language:
 task_categories:
 - tabular-regression
 - time-series-forecasting
-multilinguality: monolingual
+multilinguality: multilingual
 size_categories:
 - 1K<n<10K
 tags:
-- tabular
-- xlsx
-- africa
-- south-sudan
-- official-statistics
-- open-data
-- education
+- "tabular"
+- "africa"
+- "open-data"
+- "official-statistics"
+- "south-sudan"
+- "international-organization-for-migration-iom"
+- "education"
+- "ssd"
+- "education-facilities-schools"
+- "facilities-infrastructure"
+- "geodata"
 configs:
 - config_name: default
   data_files:
   - split: train
     path: data/train-00000-of-00001.parquet
-pretty_name: "South Sudan - Village Assessment - Education Facilities - [IOM-DTM] | Africa (South Sudan official open data)"
+pretty_name: "South Sudan Village Assessment Education Facilities Iom Dt | Africa (International Organization for Migration (IOM))"
 ---
 
-# South Sudan - Village Assessment - Education Facilities - [IOM-DTM] | Africa (South Sudan official open data)
+# South Sudan Village Assessment Education Facilities Iom Dt | Africa (International Organization for Migration (IOM))
 
-5,772 rows - 1 Africa country - 2019-2020 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
+**5,772 rows** - **1 Africa country/area** - **2019-2020** - **12 indicators** - *Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)*
 
 ![rows](https://img.shields.io/badge/rows-5772-blue)
 ![countries](https://img.shields.io/badge/countries-1-green)
-![years](https://img.shields.io/badge/years-2019-2020-orange)
+![period](https://img.shields.io/badge/period-2019--2020-orange)
 ![indicators](https://img.shields.io/badge/indicators-12-purple)
-![license](https://img.shields.io/badge/license-cc-by-4.0-lightgrey)
+![license](https://img.shields.io/badge/license-cc--by--4.0-lightgrey)
 
 ## TL;DR
 
-This dataset packages one official `XLSX` resource from **South Sudan** as
-ML-ready Parquet. The source file is the provenance boundary; all usable
-indicators or tabular columns from the resource stay together in this repo.
+This dataset contains **5,772 rows** from **International Organization for Migration (IOM)**, covering **South Sudan Village Assessment Education Facilities Iom Dt**. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.
 
-## About the source
+## What This Dataset Measures
 
-- **Source:** [South Sudan - Village Assessment - Education Facilities - [IOM-DTM]](https://data.humdata.org/dataset/south-sudan-village-assessment-education-facilities-iom-dtm)
-- **Publisher:** International Organization for Migration (IOM)
-- **Resource:** [DTM South Sudan Village Assessment Education Facilities Aug19 to Mar20](https://data.humdata.org/dataset/de0a7adc-5ef1-410a-a532-31b34ba45b07/resource/87719cd8-d8f7-4287-b634-4f767259f9b3/download/dtm-south-sudan-village-assessment-education-facilities-aug19-to-mar20.xlsx)
-- **Format:** `XLSX`
-- **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
-- **Packaging mode:** `indicator_long`
+Education datasets help analysts study access, participation, learning systems, infrastructure, and outcomes across places and periods.
+
+Source-provided context: The dataset has education facilities' names, locations and the services available there, last reviewed in April 2023.
+
+## How To Read This Dataset
+
+- **One row means:** one indicator observation for one geography, time period, and optional source dimensions.
+- **Primary geography column:** `country_iso3`.
+- **Best time column:** `year`.
+- **Time coverage basis:** year.
+- **Recommended join keys:** `country_iso3`, `year`, `indicator_id`.
+
+## Coverage
+
+| Dimension | Value |
+|---|---:|
+| Rows | 5,772 |
+| Countries/areas | 1 |
+| First period | 2019 |
+| Last period | 2020 |
+| Indicators | 12 |
+| Columns | 64 |
+| Source format | XLSX |
 
-## Geographic coverage
+## Geographic Coverage
 
-1 Africa country:
+Top areas shown below, sorted by row count when available:
 
-| Country | Rows | First year | Last year | Name |
-|---------|-----:|-----------:|----------:|------|
+| Area | Rows | First year | Last year | Name |
+|------|-----:|-----------:|----------:|------|
 | `SSD` | 5,772 | 2019 | 2020 | `South Sudan` |
 
-## Indicators or Resource Contents
-
-- `south-sudan-village-assessment-education-facilities-iom-dtm-boma-pcode-63c49521` - South Sudan - Village Assessment - Education Facilities - [IOM-DTM] - boma pcode
-- `south-sudan-village-assessment-education-facilities-iom-dtm-latitude-ref-df76ccc4` - South Sudan - Village Assessment - Education Facilities - [IOM-DTM] - latitude ref
-- `south-sudan-village-assessment-education-facilities-iom-dtm-longitude-re-53450eb4` - South Sudan - Village Assessment - Education Facilities - [IOM-DTM] - longitude ref
-- `south-sudan-village-assessment-education-facilities-iom-dtm-d-9-male-ann-e775162f` - South Sudan - Village Assessment - Education Facilities - [IOM-DTM] - d 9 male annual student enrolment
-- `south-sudan-village-assessment-education-facilities-iom-dtm-d-9-female-a-de921290` - South Sudan - Village Assessment - Education Facilities - [IOM-DTM] - d 9 female annual student enrolment
-- `south-sudan-village-assessment-education-facilities-iom-dtm-s2-total-enr-aea14a9e` - South Sudan - Village Assessment - Education Facilities - [IOM-DTM] - s2 total enrollment
-- `south-sudan-village-assessment-education-facilities-iom-dtm-d-9-male-ann-29a828a4` - South Sudan - Village Assessment - Education Facilities - [IOM-DTM] - d 9 male annual student dropouts
-- `south-sudan-village-assessment-education-facilities-iom-dtm-d-9-female-a-dbfc679a` - South Sudan - Village Assessment - Education Facilities - [IOM-DTM] - d 9 female annual student dropouts
-- `south-sudan-village-assessment-education-facilities-iom-dtm-s2-total-dro-5d81dec7` - South Sudan - Village Assessment - Education Facilities - [IOM-DTM] - s2 total dropouts
-- `south-sudan-village-assessment-education-facilities-iom-dtm-d-9-male-ann-e5557ffc` - South Sudan - Village Assessment - Education Facilities - [IOM-DTM] - d 9 male annual number of teachers
-- `south-sudan-village-assessment-education-facilities-iom-dtm-d-9-female-a-9033243b` - South Sudan - Village Assessment - Education Facilities - [IOM-DTM] - d 9 female annual number of teachers
-- `south-sudan-village-assessment-education-facilities-iom-dtm-s2-total-tea-f88d71ee` - South Sudan - Village Assessment - Education Facilities - [IOM-DTM] - s2 total teachers
+## Indicators, Variables, Or Resource Contents
+
+- `south-sudan-village-assessment-education-facilities-iom-dtm-boma-pcode-63c49521` - South Sudan - Village Assessment - Education Facilities - [IOM-DTM] - boma pcode(source_units_unspecified)
+- `south-sudan-village-assessment-education-facilities-iom-dtm-latitude-ref-df76ccc4` - South Sudan - Village Assessment - Education Facilities - [IOM-DTM] - latitude ref(source_units_unspecified)
+- `south-sudan-village-assessment-education-facilities-iom-dtm-longitude-re-53450eb4` - South Sudan - Village Assessment - Education Facilities - [IOM-DTM] - longitude ref(source_units_unspecified)
+- `south-sudan-village-assessment-education-facilities-iom-dtm-d-9-male-ann-e775162f` - South Sudan - Village Assessment - Education Facilities - [IOM-DTM] - d 9 male annual student enrolment(source_units_unspecified)
+- `south-sudan-village-assessment-education-facilities-iom-dtm-d-9-female-a-de921290` - South Sudan - Village Assessment - Education Facilities - [IOM-DTM] - d 9 female annual student enrolment(source_units_unspecified)
+- `south-sudan-village-assessment-education-facilities-iom-dtm-s2-total-enr-aea14a9e` - South Sudan - Village Assessment - Education Facilities - [IOM-DTM] - s2 total enrollment(source_units_unspecified)
+- `south-sudan-village-assessment-education-facilities-iom-dtm-d-9-male-ann-29a828a4` - South Sudan - Village Assessment - Education Facilities - [IOM-DTM] - d 9 male annual student dropouts(source_units_unspecified)
+- `south-sudan-village-assessment-education-facilities-iom-dtm-d-9-female-a-dbfc679a` - South Sudan - Village Assessment - Education Facilities - [IOM-DTM] - d 9 female annual student dropouts(source_units_unspecified)
+- `south-sudan-village-assessment-education-facilities-iom-dtm-s2-total-dro-5d81dec7` - South Sudan - Village Assessment - Education Facilities - [IOM-DTM] - s2 total dropouts(source_units_unspecified)
+- `south-sudan-village-assessment-education-facilities-iom-dtm-d-9-male-ann-e5557ffc` - South Sudan - Village Assessment - Education Facilities - [IOM-DTM] - d 9 male annual number of teachers(source_units_unspecified)
+- `south-sudan-village-assessment-education-facilities-iom-dtm-d-9-female-a-9033243b` - South Sudan - Village Assessment - Education Facilities - [IOM-DTM] - d 9 female annual number of teachers(source_units_unspecified)
+- `south-sudan-village-assessment-education-facilities-iom-dtm-s2-total-tea-f88d71ee` - South Sudan - Village Assessment - Education Facilities - [IOM-DTM] - s2 total teachers(source_units_unspecified)
 
 ## Schema
 
 | Column | Type | Description | Example |
 |--------|------|-------------|---------|
-| `indicator_id` | `string` | Stable indicator identifier. | `south-sudan-village-assessment-education-facilities-iom-dtm-boma-pcode-6` |
-| `indicator_name` | `string` | Human-readable indicator name. | `South Sudan - Village Assessment - Education Facilities - [IOM-DTM] - bo` |
-| `country_iso3` | `string` | ISO3 country code. | `SSD` |
-| `source_sheet` | `string` | Workbook sheet name, when the source is a spreadsheet. | `SSudan_Village_EDU_Aug19_Mar20` |
-| `country_name` | `string` | Country name. | `South Sudan` |
-| `year` | `Int64` | Observation year. | `2019` |
-| `value` | `float64` | Numeric observation value. | `103298.0` |
-| `unit` | `string` | Measurement unit, when available. | `source_units_unspecified` |
-| `dimension_state` | `string` | Source dimension. | `Western Bahr el Ghazal` |
-| `dimension_state_pcode` | `string` | Source dimension. | `SS09` |
-| `dimension_county` | `string` | Source dimension. | `Wau` |
-| `dimension_county_pcode` | `string` | Source dimension. | `SS0903` |
-| `dimension_payam` | `string` | Source dimension. | `Wau_South` |
-| `dimension_payam_pcode` | `string` | Source dimension. | `SS090307` |
-| `dimension_boma` | `string` | Source dimension. | `Jebel A` |
-| `dimension_is_current_boma_name_the_same` | `string` | Source dimension. | `` |
-| `dimension_if_different_specify_new_boma_name` | `string` | Source dimension. | `` |
-| `dimension_village` | `string` | Source dimension. | `Jebel A` |
-| `dimension_village_name_other` | `string` | Source dimension. | `` |
-| `dimension_d_1_type_of_education_facility` | `string` | Source dimension. | `Primary` |
-| `dimension_name_of_education_facility` | `string` | Source dimension. | `Kiir foundation primary school` |
-| `dimension_d_2_a_current_status_of_education_facility` | `string` | Source dimension. | `Operational` |
-| `dimension_d_2_b_if_non_operational_please_select_a_reaso` | `string` | Source dimension. | `` |
-| `dimension_d_2_b_other_specify` | `string` | Source dimension. | `` |
-| `dimension_d_2_c_since_when_has_the_school_been_non_opera` | `string` | Source dimension. | `` |
-| `dimension_d_3_a_what_standard_of_primary_education_is_of` | `string` | Source dimension. | `Standard 1-8` |
-| `dimension_d_3_b_if_the_primary_school_does_not_cover_up` | `string` | Source dimension. | `` |
-| `dimension_d_4_if_this_is_a_secondary_school_what_standar` | `string` | Source dimension. | `` |
-| `dimension_d_5_what_is_the_main_language_used_to_teach_in` | `string` | Source dimension. | `English` |
-| `dimension_d_5_local_language` | `string` | Source dimension. | `` |
-| `dimension_d_6_what_school_curriculum_does_this_school_te` | `string` | Source dimension. | `New South Sudan Curriculum` |
-| `dimension_d_6_if_other_school_curriculum_specify` | `string` | Source dimension. | `` |
-| `dimension_d_7_is_the_school_able_to_accommodate_all_scho` | `string` | Source dimension. | `Yes` |
-| `dimension_d_8_are_there_children_from_other_bomas_attend` | `string` | Source dimension. | `Yes` |
-| `dimension_d_11_whats_is_the_main_reason_for_pupils_dropp` | `string` | Source dimension. | `High school fees` |
-| `dimension_d_11_specify_other_dropping_out_reason` | `string` | Source dimension. | `` |
-| `dimension_d_12_a_are_there_disabled_children_enrolled_in` | `string` | Source dimension. | `Yes` |
-| `dimension_d_12_b_if_yes_what_are_the_disabilities_they_n` | `string` | Source dimension. | `Physical disability` |
-| `dimension_d_12_c_if_yes_does_the_school_make_efforts_to` | `string` | Source dimension. | `No` |
-| `dimension_d_13_does_the_school_have_an_appropiate_safe_a` | `string` | Source dimension. | `No` |
-| `dimension_d_14_describe_the_education_facility_structure` | `string` | Source dimension. | `Semi-permanent building` |
-| `dimension_d_15_a_number_of_class_rooms` | `string` | Source dimension. | `Insufficient` |
-| `dimension_d_15_b_school_furniture` | `string` | Source dimension. | `Insufficient` |
-| `dimension_d_15_c_school_latrines` | `string` | Source dimension. | `Insufficient` |
-| `dimension_d_15_d_drinking_water_for_the_school` | `string` | Source dimension. | `Not present` |
-| `dimension_d_15_e_non_drinking_water_for_hygiene` | `string` | Source dimension. | `Not present` |
-| `dimension_d_17_does_the_school_find_it_difficult_to_get` | `string` | Source dimension. | `Yes` |
-| `dimension_d_17_if_yes_what_usually_happens_to_the_respec` | `string` | Source dimension. | `Suspended` |
-| `dimension_d_17_specify_other_happening_to_students_when` | `string` | Source dimension. | `` |
-| `dimension_d_18_who_is_the_main_supporter_of_the_school` | `string` | Source dimension. | `Private sector` |
-| `dimension_d_19_do_the_students_go_for_further_education` | `string` | Source dimension. | `Yes` |
-| `dimension_d_20_a_do_you_have_accelerated_learning_progra` | `string` | Source dimension. | `No` |
-| `dimension_d_20_b_if_yes_who_is_the_main_provider_of_supp` | `string` | Source dimension. | `` |
-| `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2019` |
-| `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2023` |
-| `source_period_label` | `category` | Human-readable period inferred from source resource metadata. | `2019-2023` |
-| `source_provider` | `category` | Publishing organization. | `International Organization for Migration (IOM)` |
-| `source_dataset` | `category` | Source package title. | `South Sudan - Village Assessment - Education Facilities - [IOM-DTM]` |
-| `source_resource` | `category` | Source resource title. | `DTM South Sudan Village Assessment Education Facilities Aug19 to Mar20` |
-| `source_package_id` | `category` | CKAN package UUID. | `de0a7adc-5ef1-410a-a532-31b34ba45b07` |
-| `source_resource_id` | `category` | CKAN resource UUID. | `87719cd8-d8f7-4287-b634-4f767259f9b3` |
-| `source_url` | `category` | Original source resource URL. | `https://data.humdata.org/dataset/de0a7adc-5ef1-410a-a532-31b34ba45b07/re` |
-| `license_id` | `category` | Source license identifier. | `cc-by` |
-| `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-10T18:18:23Z` |
+| `indicator_id` | `string` | Stable source or Electric Sheep Africa indicator identifier. | `south-sudan-village-assessment-education-facilities-iom-dtm-boma-pcod...` |
+| `indicator_name` | `string` | Human-readable indicator name. | `South Sudan - Village Assessment - Education Facilities - [IOM-DTM] -...` |
+| `country_iso3` | `string` | ISO3 country or area code. | `SSD` |
+| `source_sheet` | `string` | Source column from the original resource. | `SSudan_Village_EDU_Aug19_Mar20` |
+| `country_name` | `string` | Country or area name. | `South Sudan` |
+| `year` | `int64` | Observation year. | `2019` |
+| `value` | `double` | Numeric observation value. | `103298.0` |
+| `unit` | `string` | Measurement unit, when supplied by the source. | `source_units_unspecified` |
+| `dimension_state` | `string` | Source dimension retained during long-form normalization. | `Western Bahr el Ghazal` |
+| `dimension_state_pcode` | `string` | Source dimension retained during long-form normalization. | `SS09` |
+| `dimension_county` | `string` | Source dimension retained during long-form normalization. | `Wau` |
+| `dimension_county_pcode` | `string` | Source dimension retained during long-form normalization. | `SS0903` |
+| `dimension_payam` | `string` | Source dimension retained during long-form normalization. | `Wau_South` |
+| `dimension_payam_pcode` | `string` | Source dimension retained during long-form normalization. | `SS090307` |
+| `dimension_boma` | `string` | Source dimension retained during long-form normalization. | `Jebel A` |
+| `dimension_is_current_boma_name_the_same` | `string` | Source dimension retained during long-form normalization. | `` |
+| `dimension_if_different_specify_new_boma_name` | `string` | Source dimension retained during long-form normalization. | `` |
+| `dimension_village` | `string` | Source dimension retained during long-form normalization. | `Jebel A` |
+| `dimension_village_name_other` | `string` | Source dimension retained during long-form normalization. | `` |
+| `dimension_d_1_type_of_education_facility` | `string` | Source dimension retained during long-form normalization. | `Primary` |
+| `dimension_name_of_education_facility` | `string` | Source dimension retained during long-form normalization. | `Kiir foundation primary school` |
+| `dimension_d_2_a_current_status_of_education_facility` | `string` | Source dimension retained during long-form normalization. | `Operational` |
+| `dimension_d_2_b_if_non_operational_please_select_a_reaso` | `string` | Source dimension retained during long-form normalization. | `` |
+| `dimension_d_2_b_other_specify` | `string` | Source dimension retained during long-form normalization. | `` |
+| `dimension_d_2_c_since_when_has_the_school_been_non_opera` | `string` | Source dimension retained during long-form normalization. | `` |
+| `dimension_d_3_a_what_standard_of_primary_education_is_of` | `string` | Source dimension retained during long-form normalization. | `Standard 1-8` |
+| `dimension_d_3_b_if_the_primary_school_does_not_cover_up` | `string` | Source dimension retained during long-form normalization. | `` |
+| `dimension_d_4_if_this_is_a_secondary_school_what_standar` | `string` | Source dimension retained during long-form normalization. | `` |
+| `dimension_d_5_what_is_the_main_language_used_to_teach_in` | `string` | Source dimension retained during long-form normalization. | `English` |
+| `dimension_d_5_local_language` | `string` | Source dimension retained during long-form normalization. | `` |
+| `dimension_d_6_what_school_curriculum_does_this_school_te` | `string` | Source dimension retained during long-form normalization. | `New South Sudan Curriculum` |
+| `dimension_d_6_if_other_school_curriculum_specify` | `string` | Source dimension retained during long-form normalization. | `` |
+| `dimension_d_7_is_the_school_able_to_accommodate_all_scho` | `string` | Source dimension retained during long-form normalization. | `Yes` |
+| `dimension_d_8_are_there_children_from_other_bomas_attend` | `string` | Source dimension retained during long-form normalization. | `Yes` |
+| `dimension_d_11_whats_is_the_main_reason_for_pupils_dropp` | `string` | Source dimension retained during long-form normalization. | `High school fees` |
+| `dimension_d_11_specify_other_dropping_out_reason` | `string` | Source dimension retained during long-form normalization. | `` |
+| `dimension_d_12_a_are_there_disabled_children_enrolled_in` | `string` | Source dimension retained during long-form normalization. | `Yes` |
+| `dimension_d_12_b_if_yes_what_are_the_disabilities_they_n` | `string` | Source dimension retained during long-form normalization. | `Physical disability` |
+| `dimension_d_12_c_if_yes_does_the_school_make_efforts_to` | `string` | Source dimension retained during long-form normalization. | `No` |
+| `dimension_d_13_does_the_school_have_an_appropiate_safe_a` | `string` | Source dimension retained during long-form normalization. | `No` |
+| `dimension_d_14_describe_the_education_facility_structure` | `string` | Source dimension retained during long-form normalization. | `Semi-permanent building` |
+| `dimension_d_15_a_number_of_class_rooms` | `string` | Source dimension retained during long-form normalization. | `Insufficient` |
+| `dimension_d_15_b_school_furniture` | `string` | Source dimension retained during long-form normalization. | `Insufficient` |
+| `dimension_d_15_c_school_latrines` | `string` | Source dimension retained during long-form normalization. | `Insufficient` |
+| `dimension_d_15_d_drinking_water_for_the_school` | `string` | Source dimension retained during long-form normalization. | `Not present` |
+| `dimension_d_15_e_non_drinking_water_for_hygiene` | `string` | Source dimension retained during long-form normalization. | `Not present` |
+| `dimension_d_17_does_the_school_find_it_difficult_to_get` | `string` | Source dimension retained during long-form normalization. | `Yes` |
+| `dimension_d_17_if_yes_what_usually_happens_to_the_respec` | `string` | Source dimension retained during long-form normalization. | `Suspended` |
+| `dimension_d_17_specify_other_happening_to_students_when` | `string` | Source dimension retained during long-form normalization. | `` |
+| `dimension_d_18_who_is_the_main_supporter_of_the_school` | `string` | Source dimension retained during long-form normalization. | `Private sector` |
+| `dimension_d_19_do_the_students_go_for_further_education` | `string` | Source dimension retained during long-form normalization. | `Yes` |
+| `dimension_d_20_a_do_you_have_accelerated_learning_progra` | `string` | Source dimension retained during long-form normalization. | `No` |
+| `dimension_d_20_b_if_yes_who_is_the_main_provider_of_supp` | `string` | Source dimension retained during long-form normalization. | `` |
+| `source_period_start_year` | `int64` | Start year inferred from source metadata. | `2019` |
+| `source_period_end_year` | `int64` | End year inferred from source metadata. | `2023` |
+| `source_period_label` | `dictionary<values=string, indices=int8, ordered=0>` | Source column from the original resource. | `2019-2023` |
+| `source_provider` | `dictionary<values=string, indices=int8, ordered=0>` | Publishing organization. | `International Organization for Migration (IOM)` |
+| `source_dataset` | `dictionary<values=string, indices=int8, ordered=0>` | Source dataset or package title. | `South Sudan - Village Assessment - Education Facilities - [IOM-DTM]` |
+| `source_resource` | `dictionary<values=string, indices=int8, ordered=0>` | Source resource title, table name, or file name. | `DTM South Sudan Village Assessment Education Facilities Aug19 to Mar20` |
+| `source_package_id` | `dictionary<values=string, indices=int8, ordered=0>` | Source package identifier. | `de0a7adc-5ef1-410a-a532-31b34ba45b07` |
+| `source_resource_id` | `dictionary<values=string, indices=int8, ordered=0>` | Source resource identifier. | `87719cd8-d8f7-4287-b634-4f767259f9b3` |
+| `source_url` | `dictionary<values=string, indices=int8, ordered=0>` | Original source URL or download URL. | `https://data.humdata.org/dataset/de0a7adc-5ef1-410a-a532-31b34ba45b07...` |
+| `license_id` | `dictionary<values=string, indices=int8, ordered=0>` | Source license identifier. | `cc-by` |
+| `retrieved_at` | `dictionary<values=string, indices=int8, ordered=0>` | UTC source retrieval timestamp from the Electric Sheep Africa pipeline. | `2026-08-10T18:18:23Z` |
 
 ## Usage
 
@@ -151,29 +170,78 @@ df = ds["train"].to_pandas()
 print(df.head())
 ```
 
-### Filter to one country
+### Inspect Columns
+
+```python
+print(df.info())
+print(df.head())
+```
+
+### Filter By Geography
+
+```python
+if "country_iso3" in df.columns:
+    sample = df[df["country_iso3"] == "SSD"]
+```
+
+### Time-Series Pattern
 
 ```python
-sample_country = df[df["country_iso3"] == "SSD"]
+if "value" in df.columns and "year" in df.columns:
+    trend = df.sort_values("year")
 ```
 
-### Work with indicators
+### Pivot For Analysis
 
 ```python
-if "indicator_id" in df.columns:
-    print(df["indicator_id"].value_counts().head())
-    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])
+if {"indicator_id", "year", "value"}.issubset(df.columns):
+    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
+    print(matrix.tail())
 ```
 
+## Data Quality Notes
+
+- Canonical time field: `year`.
+- Missing values are preserved rather than silently imputed.
+- Column names are standardized for machine use; source meanings are preserved where known.
+- Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.
+
+## Source And Provenance
+
+- **Source:** [International Organization for Migration (IOM)](https://data.humdata.org/dataset/south-sudan-village-assessment-education-facilities-iom-dtm)
+- **Publisher:** International Organization for Migration (IOM)
+- **Portal:** [https://data.humdata.org](https://data.humdata.org)
+- **Resource:** [DTM South Sudan Village Assessment Education Facilities Aug19 to Mar20](https://data.humdata.org/dataset/de0a7adc-5ef1-410a-a532-31b34ba45b07/resource/87719cd8-d8f7-4287-b634-4f767259f9b3/download/dtm-south-sudan-village-assessment-education-facilities-aug19-to-mar20.xlsx)
+- **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
+- **Retrieved/generated:** `2026-08-10T19:54:00Z`
+- **Hugging Face repo:** [electricsheepafrica/africa-south-sudan-south-sudan-village-assessment-education-facilities-iom-dt-9857ee14](https://huggingface.co/datasets/electricsheepafrica/africa-south-sudan-south-sudan-village-assessment-education-facilities-iom-dt-9857ee14)
+
+## Transformations Applied
+
+- Converted the source table to Parquet for efficient analytics and ML workflows.
+- Added or preserved source provenance columns where available.
+- Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
+- Preserved source-reported values without analytical imputation.
+
+## Suggested Analyses
+
+- Compare education indicators by geography
+- Track participation or completion trends
+- Join with population and poverty indicators
+- Build time-series views and period-over-period comparisons
+- Pivot to geography x period or indicator x period matrices
+- Check missingness before modeling
+- Use `country_iso3` as the safest geography join key when present
+
 ## Citation
 
 ```bibtex
 @misc{electric_sheep_africa_africa_south_sudan_south_sudan_village_assessment_education_facilities_iom_dt_98_2020,
-  title        = {South Sudan - Village Assessment - Education Facilities - [IOM-DTM] | Africa (South Sudan official open data)},
+  title        = {South Sudan Village Assessment Education Facilities Iom Dt | Africa (International Organization for Migration (IOM))},
   author       = {International Organization for Migration (IOM)},
   year         = {2020},
   url          = {https://data.humdata.org/dataset/south-sudan-village-assessment-education-facilities-iom-dtm},
-  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
+  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
   howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-south-sudan-south-sudan-village-assessment-education-facilities-iom-dt-9857ee14}}
 }
 ```
@@ -182,20 +250,14 @@ if "indicator_id" in df.columns:
 
 Released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
 
-Original data (c) International Organization for Migration (IOM). When using this dataset, please cite both the
-original source above and the Electric Sheep Africa repackaging.
-
-## About Electric Sheep
+Original data is published by International Organization for Migration (IOM). Electric Sheep Africa
+engineering standardizes the data for discovery, loading, and analysis on
+Hugging Face. Cite both the original source and this ML-ready dataset when used.
 
-Electric Sheep Africa is part of the Electric Sheep mission: a unified,
-ML-ready data layer for Africa on Hugging Face. We pull data from authoritative
-open sources, normalize the schemas, package as Parquet, and publish with
-consistent dataset cards so researchers and developers can use `load_dataset()`
-to start working in seconds.
+## About Electric Sheep Africa
 
-Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica)
+Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.
 
 ---
 
-Provenance: ingested 2026-08-10 via the Electric Sheep pipeline. Source URL:
-https://data.humdata.org/dataset/de0a7adc-5ef1-410a-a532-31b34ba45b07/resource/87719cd8-d8f7-4287-b634-4f767259f9b3/download/dtm-south-sudan-village-assessment-education-facilities-aug19-to-mar20.xlsx
+Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://data.humdata.org/dataset/south-sudan-village-assessment-education-facilities-iom-dtm