fix: small update
Browse files- README.md +2 -2
- data/home_value_forecasts/Metro_zhvf_growth_uc_sfrcondo_tier_0.33_0.67_month.csv +0 -3
- data/home_value_forecasts/Metro_zhvf_growth_uc_sfrcondo_tier_0.33_0.67_sm_sa_month.csv +0 -3
- data/home_value_forecasts/Zip_zhvf_growth_uc_sfrcondo_tier_0.33_0.67_month.csv +0 -3
- data/home_value_forecasts/Zip_zhvf_growth_uc_sfrcondo_tier_0.33_0.67_sm_sa_month.csv +0 -3
- data/{new_constructions β new_construction}/Metro_new_con_median_sale_price_per_sqft_uc_condo_month.csv +0 -0
- data/{new_constructions β new_construction}/Metro_new_con_median_sale_price_per_sqft_uc_sfr_month.csv +0 -0
- data/{new_constructions β new_construction}/Metro_new_con_median_sale_price_per_sqft_uc_sfrcondo_month.csv +0 -0
- data/{new_constructions β new_construction}/Metro_new_con_median_sale_price_uc_condo_month.csv +0 -0
- data/{new_constructions β new_construction}/Metro_new_con_median_sale_price_uc_sfr_month.csv +0 -0
- data/{new_constructions β new_construction}/Metro_new_con_median_sale_price_uc_sfrcondo_month.csv +0 -0
- data/{new_constructions β new_construction}/Metro_new_con_sales_count_raw_uc_condo_month.csv +0 -0
- data/{new_constructions β new_construction}/Metro_new_con_sales_count_raw_uc_sfr_month.csv +0 -0
- data/{new_constructions β new_construction}/Metro_new_con_sales_count_raw_uc_sfrcondo_month.csv +0 -0
- processed/home_value_forecasts/final.jsonl +0 -3
- processed/home_value_forecasts/final1.jsonl +0 -3
- processed/{new_constructions β new_construction}/final1.jsonl +0 -0
- processors/home_value_forecasts.ipynb +1 -1
- processors/{new_constructions.ipynb β new_construction.ipynb} +1 -1
- tester.ipynb +3 -3
- zillow.py +6 -6
README.md
CHANGED
@@ -21,12 +21,12 @@ This dataset contains several configs produced based on files available at https
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supported configs:
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<!-- list each with a short description (1 sentence) -->
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- [`home_values`](https://huggingface.co/datasets/misikoff/zillow#home-values): Zillow Home Value Index (ZHVI) for all homes, mid-tier, bottom-tier, and top-tier homes.
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-
- [`
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- [`rentals`](https://huggingface.co/datasets/misikoff/zillow#rentals): Zillow Observed Rent Index (ZORI) for all homes, mid-tier, bottom-tier, and top-tier homes.
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- [`for_sale_listings`](https://huggingface.co/datasets/misikoff/zillow#for-sale-listings): Median listing price, new listings, and new pending listings.
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- [`sales`](https://huggingface.co/datasets/misikoff/zillow#sales): Median sale price, median sale price per square foot, and sales count.
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- [`days_on_market`](https://huggingface.co/datasets/misikoff/zillow#days-on-market): Days to pending, days to close, share of listings with a price cut, and price cuts.
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- [`
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## HOME VALUES
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supported configs:
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<!-- list each with a short description (1 sentence) -->
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- [`home_values`](https://huggingface.co/datasets/misikoff/zillow#home-values): Zillow Home Value Index (ZHVI) for all homes, mid-tier, bottom-tier, and top-tier homes.
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+
- [`home_values_forecasts`](https://huggingface.co/datasets/misikoff/zillow#home-value-forecasts): Zillow Home Value Forecast (ZHVF) for all homes, mid-tier, bottom-tier, and top-tier homes.
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- [`rentals`](https://huggingface.co/datasets/misikoff/zillow#rentals): Zillow Observed Rent Index (ZORI) for all homes, mid-tier, bottom-tier, and top-tier homes.
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- [`for_sale_listings`](https://huggingface.co/datasets/misikoff/zillow#for-sale-listings): Median listing price, new listings, and new pending listings.
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- [`sales`](https://huggingface.co/datasets/misikoff/zillow#sales): Median sale price, median sale price per square foot, and sales count.
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- [`days_on_market`](https://huggingface.co/datasets/misikoff/zillow#days-on-market): Days to pending, days to close, share of listings with a price cut, and price cuts.
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+
- [`new_construction`](https://huggingface.co/datasets/misikoff/zillow#new-construction): Median sale price, median sale price per square foot, and sales count.
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## HOME VALUES
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data/home_value_forecasts/Metro_zhvf_growth_uc_sfrcondo_tier_0.33_0.67_month.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:601b00d42493eb75cf786e52ca8591443200b4554bed1ec6c9125c5c18d1c009
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size 52228
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data/home_value_forecasts/Metro_zhvf_growth_uc_sfrcondo_tier_0.33_0.67_sm_sa_month.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:4f50beb1308aaf672a37dc0d620fdc23afcddfeed12391e61031755f0b3f4333
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size 51552
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data/home_value_forecasts/Zip_zhvf_growth_uc_sfrcondo_tier_0.33_0.67_month.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:7f06e8e0a4ed7ed6359c68b3f143f387093f4baf58e655d7c37a6785394495cb
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size 3165256
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data/home_value_forecasts/Zip_zhvf_growth_uc_sfrcondo_tier_0.33_0.67_sm_sa_month.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:f6d51d40fa47803aee2e2141e5654b86c6a83a9eb998f0e8b81d659074b9a166
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size 2039552
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data/{new_constructions β new_construction}/Metro_new_con_median_sale_price_per_sqft_uc_condo_month.csv
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data/{new_constructions β new_construction}/Metro_new_con_median_sale_price_per_sqft_uc_sfr_month.csv
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data/{new_constructions β new_construction}/Metro_new_con_median_sale_price_per_sqft_uc_sfrcondo_month.csv
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data/{new_constructions β new_construction}/Metro_new_con_median_sale_price_uc_condo_month.csv
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data/{new_constructions β new_construction}/Metro_new_con_median_sale_price_uc_sfr_month.csv
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data/{new_constructions β new_construction}/Metro_new_con_median_sale_price_uc_sfrcondo_month.csv
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data/{new_constructions β new_construction}/Metro_new_con_sales_count_raw_uc_condo_month.csv
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data/{new_constructions β new_construction}/Metro_new_con_sales_count_raw_uc_sfr_month.csv
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data/{new_constructions β new_construction}/Metro_new_con_sales_count_raw_uc_sfrcondo_month.csv
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processed/home_value_forecasts/final.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:f0557666842cd52409b8f1509e1402270d649ddb9371f9992007422a807d29fa
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size 8185465
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processed/home_value_forecasts/final1.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:03947d319dfc30298597964938d8c7f8220da8dbbb0752f26227ee63d33e6541
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size 8311837
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processed/{new_constructions β new_construction}/final1.jsonl
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processors/home_value_forecasts.ipynb
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@@ -18,7 +18,7 @@
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"source": [
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"DATA_DIR = \"../data/\"\n",
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"PROCESSED_DIR = \"../processed/\"\n",
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-
"FACET_DIR = \"
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"FULL_DATA_DIR_PATH = os.path.join(DATA_DIR, FACET_DIR)\n",
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"FULL_PROCESSED_DIR_PATH = os.path.join(PROCESSED_DIR, FACET_DIR)"
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]
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"source": [
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"DATA_DIR = \"../data/\"\n",
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"PROCESSED_DIR = \"../processed/\"\n",
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+
"FACET_DIR = \"home_values_forecasts/\"\n",
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"FULL_DATA_DIR_PATH = os.path.join(DATA_DIR, FACET_DIR)\n",
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"FULL_PROCESSED_DIR_PATH = os.path.join(PROCESSED_DIR, FACET_DIR)"
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]
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processors/{new_constructions.ipynb β new_construction.ipynb}
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"source": [
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"DATA_DIR = \"../data\"\n",
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"PROCESSED_DIR = \"../processed/\"\n",
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-
"FACET_DIR = \"
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"FULL_DATA_DIR_PATH = os.path.join(DATA_DIR, FACET_DIR)\n",
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"FULL_PROCESSED_DIR_PATH = os.path.join(PROCESSED_DIR, FACET_DIR)"
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]
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"source": [
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"DATA_DIR = \"../data\"\n",
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"PROCESSED_DIR = \"../processed/\"\n",
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+
"FACET_DIR = \"new_construction/\"\n",
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"FULL_DATA_DIR_PATH = os.path.join(DATA_DIR, FACET_DIR)\n",
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"FULL_PROCESSED_DIR_PATH = os.path.join(PROCESSED_DIR, FACET_DIR)"
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]
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tester.ipynb
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@@ -20,7 +20,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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-
"
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"new_constructions\n",
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"for_sale_listings\n"
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]
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],
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"source": [
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"configs = [\n",
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-
" \"
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-
" \"
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" \"for_sale_listings\",\n",
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" \"rentals\",\n",
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" \"sales\",\n",
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"name": "stdout",
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"output_type": "stream",
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"text": [
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+
"home_values_forecasts\n",
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"new_constructions\n",
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"for_sale_listings\n"
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]
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],
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"source": [
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"configs = [\n",
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+
" \"home_values_forecasts\",\n",
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+
" \"new_construction\",\n",
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" \"for_sale_listings\",\n",
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" \"rentals\",\n",
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" \"sales\",\n",
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zillow.py
CHANGED
@@ -50,12 +50,12 @@ class Zillow(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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-
name="
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version=VERSION,
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description="This part of my dataset covers a first domain",
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),
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datasets.BuilderConfig(
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-
name="
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version=VERSION,
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description="This part of my dataset covers a second domain",
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),
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@@ -89,7 +89,7 @@ class Zillow(datasets.GeneratorBasedBuilder):
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DEFAULT_CONFIG_NAME = ""
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def _info(self):
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-
if self.config.name == "
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features = datasets.Features(
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{
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"Region ID": datasets.Value(dtype="string", id="Region ID"),
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@@ -121,7 +121,7 @@ class Zillow(datasets.GeneratorBasedBuilder):
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),
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}
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)
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-
elif self.config.name == "
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features = datasets.Features(
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{
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"Region ID": datasets.Value(dtype="string", id="Region ID"),
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@@ -343,7 +343,7 @@ class Zillow(datasets.GeneratorBasedBuilder):
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with open(filepath, encoding="utf-8") as f:
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for key, row in enumerate(f):
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data = json.loads(row)
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-
if self.config.name == "
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yield key, {
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"Region ID": data["Region ID"],
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"Size Rank": data["Size Rank"],
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@@ -369,7 +369,7 @@ class Zillow(datasets.GeneratorBasedBuilder):
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],
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"Year Over Year % (Raw)": data["Year Over Year % (Raw)"],
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}
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-
elif self.config.name == "
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yield key, {
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"Region ID": data["Region ID"],
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"Size Rank": data["Size Rank"],
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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+
name="home_values_forecasts",
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version=VERSION,
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description="This part of my dataset covers a first domain",
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),
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datasets.BuilderConfig(
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+
name="new_construction",
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version=VERSION,
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description="This part of my dataset covers a second domain",
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),
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DEFAULT_CONFIG_NAME = ""
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def _info(self):
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+
if self.config.name == "home_values_forecasts":
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features = datasets.Features(
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{
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"Region ID": datasets.Value(dtype="string", id="Region ID"),
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),
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}
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)
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+
elif self.config.name == "new_construction":
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features = datasets.Features(
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{
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"Region ID": datasets.Value(dtype="string", id="Region ID"),
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with open(filepath, encoding="utf-8") as f:
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for key, row in enumerate(f):
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data = json.loads(row)
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+
if self.config.name == "home_values_forecasts":
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yield key, {
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"Region ID": data["Region ID"],
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"Size Rank": data["Size Rank"],
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],
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"Year Over Year % (Raw)": data["Year Over Year % (Raw)"],
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}
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+
elif self.config.name == "new_construction":
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yield key, {
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"Region ID": data["Region ID"],
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"Size Rank": data["Size Rank"],
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